PyTorch 2.10 just dropped with a focus on performance improvements and better numerical debugging tools. The debugging enhancements are particularly welcome—tracking down NaN issues in complex models has always been a pain point. Curious to see benchmark comparisons once the community starts testing.
PyTorch 2.10 Release Blog
We are excited to announce the release of PyTorch® 2.10 (release notes)! This release features a number of improvements for performance and numerical debugging. Performance has been a focus for...
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