PyTorch 2.11.0 Release

PyTorch 2.11.0 Release pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k PyTorch 2.11.0 Release vkuzo released this 23 Mar 18:38 · 11810 commits to main since this release v2.11.0 70d99e9 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 PyTorch 2.11.0 Release vkuzo released this 23 Mar 18:38 · 11810 commits to main since this release v2.11.0 70d99e9 This commit was created on GitHub.com and signed with GitHub’s verified signature .
• GPG key ID: B5690EEEBB952194 Verified Learn about vigilant mode .
• PyTorch 2.11.0 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes Performance Documentation Developers Security Highlights Added Support for Differentiable Collectives for Distributed Training FlexAttention now has a FlashAttention-4 backend on Hopper and Blackwell GPUs MPS (Apple Silicon) Comprehensive Operator Expansion Added RNN/LSTM GPU Export Support Added XPU Graph Support 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 Release Engineering Volta (SM 7.0) GPU support removed from CUDA 12.8 and 12.9 binary builds ( #172598 ) Starting with PyTorch 2.11, the CUDA 12.8 and 12.9 pre-built binaries no longer include support for Volta GPUs (compute capability 7.0, e.g.
• This change was necessary to enable updating to CuDNN 9.15.1, which is incompatible with Volta.