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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) ...
