PyTorch 2.14.1 Release

PyTorch 2.14.1 Release pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 31k Star 104k PyTorch 2.14.1 Release Latest Latest atalman released this 30 Sep 19:14 · 2820 commits to main since this release v2.14.1 5c48869 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 31k Star 104k PyTorch 2.14.1 Release Latest Latest atalman released this 30 Sep 19:14 · 2820 commits to main since this release v2.14.1 5c48869 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 regressions and silent correctness issues: Silent correctness fixes Fix incorrect torch.linalg.lstsq solutions on MPS for complex batched underdetermined systems ( #196113 ), fixed by #196128 Fix non-orthogonal U and inaccurate small singular values from torch.linalg.svd on MPS for rank-deficient and ill-conditioned inputs ( #196112 ), fixed by #196139 and #199063 Update the CUDA 13.2 Linux binaries to CUDA 13.2.2 ( #196351 ).
• This NVIDIA update resolves two critical issues that could produce incorrect results ( CUDA 13.2.2 release notes ): cuBLAS: cublasLtMatmul() could ignore tensor-wide scaling for NVFP4 matrix multiplications (introduced in CUDA 13.2 Update 1) Compiler: failed thread reconvergence could leave stale or corrupted register values in kernels with nested thread divergence (present since CUDA 12.8) Regression fixes Fix torch.linalg.svd , torch.linalg.svdvals and torch.linalg.lstsq failing on MPS with a Metal pipeline-state error for inputs above 8192 elements ( #195937 ), fixed by #195949 and #195950 Fix internal assert in torch.svd(out=) on MPS for complex inputs ( #195822 ), fixed by #195872 Assets 2 Loading Uh oh!
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