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ArtificialIntelligence ProductUpdate 1 source(s)

PyTorch 2.2.1 Release, bug fix release

Updated September 26, 2026 · 2:46 PM · source date February 22, 2024

Summary

PyTorch 2.2.1 Release, bug fix release pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k PyTorch 2.2.1 Release, bug fix release atalman released this 22 Feb 21:15 · 44339 commits to main since this release v2.2.1 6c8c5ad This commit was created on GitHub.com and signed with GitHub’s verified signature . GPG key ID: B5690EEEBB952194 Verified Learn about vigilant mode .

Why it matters

This ProductUpdate is relevant to the technology intelligence record because it involves Apple, GitHub, NVIDIA. The source article should remain the factual reference for follow-up coverage.

Key facts
  • pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k PyTorch 2.2.1 Release, bug fix release atalman released this 22 Feb 21:15 · 44339 commits to main since this release v2.2.1 6c8c5ad This commit was created on GitHub.com and signed with GitHub’s verified signature .
  • GPG key ID: B5690EEEBB952194 Verified Learn about vigilant mode .
  • This release is meant to fix the following issues (regressions / silent correctness): Fix missing OpenMP support on Apple Silicon binaries ( pytorch/builder#1697 ) Fix crash when mixing lazy and non-lazy tensors in one operation ( #117653 ) Fix PyTorch performance regression on Linux aarch64 ( pytorch/builder#1696 ) Fix silent correctness in DTensor _to_copy operation ( #116426 ) Fix properly assigning param.grad_fn for next forward ( #116792 ) Ensure gradient clear out pending AsyncCollectiveTensor in FSDP Extension ( #116122 ) Fix processing unflatten tensor on compute stream in FSDP Extension ( #116559 ) Fix FSDP AssertionError on tensor subclass when setting sync_module_states=True ( #117336 ) Fix DCP state_dict cannot correctly find FQN when the leaf module is wrapped by FSDP ( #115592 ) Fix OOM when when returning a AsyncCollectiveTensor by forcing _gather_state_dict() to be synchronous with respect to the mian stream.
  • ( #118197 ) ( #119716 ) Fix Windows runtime torch.distributed.DistNetworkError : [WinError 32] The process cannot access the file because it is being used by another process ( #118860 ) Update supported python versions in package description ( #119743 ) Fix SIGILL crash during import torch on CPUs that do not support SSE4.1 ( #116623 ) Fix DCP RuntimeError in get_state_dict and set_state_dict ( #119573 ) Fixes for HSDP + TP integration with device_mesh ( #112435 ) ( #118620 ) ( #119064 ) ( #118638 ) ( #119481 ) Fix numerical error with mixedmm on NVIDIA V100 ( #118591 ) Fix RuntimeError when using SymInt input invariant when splitting graphs ( #117406 ) Fix compile DTensor.from_local in trace_rule_look up ( #119659 ) Improve torch.compile integration with CUDA-11.8 binaries ( #119750 ) Release tracker #119295 contains all relevant pull requests related to this release as well as links to related issues.
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