PyTorch 2.10.0 Release

PyTorch 2.10.0 Release pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k PyTorch 2.10.0 Release slayton58 released this 21 Jan 17:05 · 14496 commits to main since this release v2.10.0 449b176 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 2.10.0 Release slayton58 released this 21 Jan 17:05 · 14496 commits to main since this release v2.10.0 449b176 This commit was created on GitHub.com and signed with GitHub’s verified signature .
• GPG key ID: B5690EEEBB952194 Verified Learn about vigilant mode .
• PyTorch 2.10.0 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes Performance Documentation Developers Security Highlights Python 3.14 support for torch.compile() .
• Python 3.14t (freethreaded build) is experimentally supported as well.
• Reduced kernel launch overhead with combo-kernels horizontal fusion in torchinductor A new varlen_attn() op providing support for ragged and packed sequences Efficient eigenvalue decompositions with DnXgeev torch.compile() now respects use_deterministic_mode DebugMode for tracking dispatched calls and debugging numerical divergence - This makes it simpler to track down subtle numerical bugs.
• Intel GPUs support: Expand PyTorch support to the latest Panther Lake on Windows and Linux by enabling FP8 (core ops and scaled matmul) and complex MatMul support, and extending SYCL support in the C++ Extension API for Windows custom ops.