Sourced from torch's releases.

PyTorch 2.7.1 Release, bug fix release

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

Torch.compile

Fix Excessive cudagraph re-recording for HF LLM models (#152287) Fix torch.compile on some HuggingFace models (#151154) Fix crash due to Exception raised inside torch.autocast (#152503) Improve Error logging in torch.compile (#149831) Mark mutable custom operators as cacheable in torch.compile (#151194) Implement workaround for a graph break with older version einops (#153925) Fix an issue with tensor.view(dtype).copy_(...) (#151598)

Flex Attention

Fix assertion error due to inductor permuting inputs to flex attention (#151959) Fix performance regression on nanogpt speedrun (#152641)

Distributed

Fix extra CUDA context created by barrier (#149144) Fix an issue related to Distributed Fused Adam in Rocm/APEX when using nccl_ub feature (#150010) Add a workaround random hang in non-blocking API mode in NCCL 2.26 (#154055)

MacOS

Fix MacOS compilation error with Clang 17 (#151316) Fix binary kernels produce incorrect results when one of the tensor arguments is from a wrapped scalar on MPS devices (#152997)

Other

Improve PyTorch Wheel size due to introduction of addition of 128 bit vectorization (#148320) (#152396) Fix fmsub function definition (#152075) Fix Floating point exception in torch.mkldnn_max_pool2d (#151848) Fix abnormal inference output with XPU:1 device (#153067) Fix Illegal Instruction Caused by grid_sample on Windows (#152613) Fix ONNX decomposition does not preserve custom CompositeImplicitAutograd ops (#151826) Fix error with dynamic linking of libgomp library (#150084) Fix segfault in profiler with Python 3.13 (#153848)

• e2d141d set thread_work_size to 4 for unrolled kernel (#154541)
• 1214198 [c10d] Fix extra CUDA context created by barrier (#152834)
• 790cc2f [c10d] Add more tests to prevent extra context (#154179)
• 62ea99a [CI] Remove the xpu env source for linux binary validate (#154409)
• 941732c [ROCm] Added unit test to test the cuda_pluggable allocator (#154135)
• 769d5da [binary builds] Linux aarch64 CUDA builds. Make sure tag is set correctly (#1...
• 306ba12 Fix uint view copy (#151598) (#154121)
• 1ae9953 [ROCm] Update CUDAPluggableAllocator.h (#1984) (#153974)
• 4a815ed ci: Set minimum cmake version for halide build (#154122)
• 4c7314e [Dynamo] Fix einops regression (#154053)
• Additional commits viewable in compare view

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.

• 59a3e1f [release-only] Bump version to 0.22.1 (#9061)
• See full diff in compare view

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