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Featured projects We are excited to announce the release of PyTorch® 2.12 (release notes)! The PyTorch 2.12 release features the following changes: - Batched linalg.eigh on CUDA is up to 100x faster due to updated cuSolver backend selection - New torch.accelerator.Graph API unifies graph capture and replay across CUDA, XPU, and out-of-tree backends torch.export.save now supports Microscaling (MX) ...
PyTorch 2.12 Release Blog | Huntaegis