Bump the pytorch group with 2 updates

[dependabot]

Bumps the pytorch group with 2 updates: torch and torchvision.

Updates torch from 2.2.1 to 2.9.1

Release notes

Sourced from torch's releases.

PyTorch 2.9.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

Tracked Regressions

Significant Memory Regression in F.conv3d with bfloat16 Inputs in PyTorch 2.9.0 (#166643) This release provides work around this issue. If you are impacted please install nvidia-cudnn package version 9.15+ from pypi. (#166480) (#167111)

Torch.compile

Fix Inductor bug when compiling Gemma (#165601) Fix InternalTorchDynamoError in bytecode_transformation (#166036) Fix silent correctness error_on_graph_break bug where non-empty checkpoint results in unwanted graph break resumption (#166586) Improve performance by avoiding recompilation with mark_static_address with cudagraphs (#162208) Improve performance by caching get_free_symbol_uses in torch inductor (#166338) Fix fix registration design for inductor graph partition for vLLM (#166458) (#165815) (#165514) Fix warning spamming in torch.compile (#166993) Fix exception related to uninitialized tracer_output variable (#163169) Fix crash in torch.bmm and torch.compile with PyTorch release 2.9.0 (#166457)

Other

Fix warning spamming on new APIs to control TF32 behavior (#166956) Fix distributed crash with non-contiguous gather inputs (#166181) Fix indexing on large tensor causes invalid configuration argument (#166974) Fix numeric issue in CUDNN_ATTENTION (#166912) (#166570) Fix symmetric memory issue with fused_scaled_matmul_reduce_scatter (#165086) Improve libtorch stable ABI documentation (#163899) Fix image display on pypi project description section (#166404)

2.9 Release Notes

PyTorch 2.9.0 Release Notes

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

Highlights

... (truncated)

Commits

• d38164a Enable Doc builds for: Minor Releases RCs. Minor and Patch Releases final RC ...
• b002562 Add doc for Symmetric Memory (#167477)
• 5811a8d [cuDNN][SDPA][Convolution] Expose cuDNN runtime version in CUDA hooks (#167327)
• f36c764 [dynamo][ez] Initialize tracer_output to None by default. (#167366)
• 6877288 Change forkserver test to only run below 3.13.8 (#167361)
• 9976b77 Cherry-pick LibTorch Stable ABI documentation (#167112 #166661 #163899) (#167...
• e6bcbbe [Inductor] No longer throw error in bmm out_dtype lowering due to tem… (#166922)
• 8f658d7 don't produce invalid grid configs (#166973) (#167158)
• 3d27d95 [GraphPartition] cache get_free_symbol_uses (#166338) (#166994)
• a06141f Delete deprecated fp32 precision warnings (#166956) (#166998)
• Additional commits viewable in compare view

Updates torchvision from 0.17.1 to 0.24.1

Release notes

Sourced from torchvision's releases.

TorchVision 0.24.1 Release

This is a patch release, which is compatible with PyTorch 2.9.1. There are no new features added.

Torchvision 0.24 release

Improving KeyPoints and Rotated boxes support!

We are releasing a tutorial on how to use KeyPoint transformations in our Transforms on KeyPoints with a preview below!

[!NOTE] These features are still in BETA status. The API are unlikely to change, but we may have some rough edges and we may make some slight bug fixes in future releases. Please let us know if you encounter any issue!

Detailed changes

Improvements

[ops] Improve efficiency of the box_area and box_iou functions by eliminating the intermediate to "xyxy" conversion (#8992) [ops] Update box operations to support arbitrary batch dimensions (#9058) [utils] Add control for the background color of label text boxes (#9204) [transforms] Add support for uint8 image format to the GaussianNoise transform (#9169) [transforms] Accelerate the resize transform on machines with AVX512 (#9190) [transforms] Better error handling in RandomApply for empty list of transforms (#9130) [documentation] New tutorial for KeyPoints transforms (#9209) [documentation] Various documentation improvements (#9186, #9180, #9172) [code quality] Various code quality improvements (#9193, #9161, #9201, #9218, #9160)

Bug Fixes and deprecations

[transforms] Fix output of some geometric transforms for rotated boxes (#9181, #9175) [transforms] Fix clamping for key points and add sanitization feature (#9236, #9235) [datasets] Update download links to official repo for the Caltech-101 & 256 datasets (#9205) [ops] Raise error in drop_block[2,3]d by enforcing odd-sized block sizes (#9157) [io] Removed deprecated video_reader video decoding backend. (#9208)

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: @​alperenunlu, @​AndreiMoraru123, @​atalman, @​AntoineSimoulin, @​5had3z, @​dcasbol, @​GdoongMathew, @​hrsvrn, @​JonasKlotz, @​zklaus, @​NicolasHug, @​rdong8, @​scotts, @​get9, @​diaz-esparza, @​ZainRizvi, @​Callidior, and @​pytorch/xla-devs

Torchvision 0.23 release

Highlight - Transforming KeyPoints and Rotated boxes!

📦 This release is introducing two highly popular feature requests: Transforms support for KeyPoints and Rotated Bounding Boxes!

• Rotated Bounding Boxes provide a tighter fit and alignment with rotated and elongated objects, which improves the localization, reduces overlap in densely packed images, and improves isolation of objects in crowded scenes.
• KeyPoints offer a robust and accurate way to identify and locate specific points of interest within an image or video frame. These features aim at improving developer experience to implement use cases, including detecting & tracking objects, estimating pose, analyzing facial expressions, and creating augmented reality experiences.

We illustrated the use of Rotated Bounding Boxes below. You can expect keypoints and rotated boxes to work with all existing torchvision transforms in torchvision.transforms.v2. You can find some examples on how to use those transformations in our Transforms on Rotated Bounding Boxes tutorials.

[!NOTE]

... (truncated)

Commits

• d801a34 [release-only] bump version to 0.24.1
• 7a9db90 Update min version to 3.10 for release 2.9 (#9239) (#9240)
• 0429d73 [release/0.24] cherrypicks for keypoints fix (#9238)
• b919bd0 [release/0.24] cherrypicks for windows failing jobs (#9230)
• 973f5cd [release/0.24] Cherry pick (#9217)
• e437e35 [release/0.24] update version (#9214)
• fa174c6 [release/0.24] Remove prototype (#9211)
• 13b32e2 [release/0.24] Update jobs branch (#9212)
• 15f9128 Skeleton for keypoints tutorial (#9209)
• a8dc530 Don't build video decoder homemade backend by default (#9208)
• Additional commits viewable in compare view

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