2.9 Release Notes

2.9 Release Notes pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k 2.9 Release Notes seemethere released this 15 Oct 17:12 · 18656 commits to main since this release v2.9.0 0fabc3b This commit was created on GitHub.com and signed with GitHub’s verified signature . GPG key ID: B5690EEEBB952194 Verified Learn about vigilant mode .

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• pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k 2.9 Release Notes seemethere released this 15 Oct 17:12 · 18656 commits to main since this release v2.9.0 0fabc3b This commit was created on GitHub.com and signed with GitHub’s verified signature .
• GPG key ID: B5690EEEBB952194 Verified Learn about vigilant mode .
• PyTorch 2.9.0 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes Performance Documentation Developers Security Highlights Unstable (API-Unstable) Updates to the stable libtorch ABI for third-party C++/CUDA extensions Symmetric memory that enables easy programming of multi-GPU kernels The ability to arbitrarily toggle error or resume on graph breaks in torch.compile Expanded wheel variant support to include ROCm, XPU and CUDA 13 FlexAttention enablement on Intel GPUs Flash decoding optimization based on FlexAttention on X86 CPU ARM Platform improvements and optimizations Enablement of Linux aarch64 binary wheel builds across all supported CUDA versions For more details about these highlighted features, you can look at the release blogpost .
• Below are the full release notes for this release.
• Backwards Incompatible Changes Min supported Python version is now 3.10 ( #162310 ) The minimum version of Python required for PyTorch 2.9.0 is 3.10.
• We also have 3.14 and 3.14t available as preview with this release.