PyTorch 2.10 Release Live Q&A

The PyTorch 2.10 release features a number of improvements for performance and numerical debugging. On Wednesday, January 28th, Andrey Talman, Nikita Shulga, and Shangdi Yu will give a brief update on the release and answer your questions. Register today! Topics: - Release cadence updates - TorchScript deprecation - Torch Compile Support for Python 3.14 - Continuing support Wheel-Variant in release 2.10. - DebugMode and tlparse - Deprecating Volta support for cuda 12.8 builds, starting release 2.11. - Remind about Linux aarch64 CUDA binaries availability since release 2.9. The instructions for these are now visible on getting started page - Torchaudio 2.10.0 Bios: Andrey is a Software Engineer at Meta, primarily focused on open-source releases for PyTorch and its ecosystem libraries. He works on release management, continuous integration, and process improvements, ensuring high-quality and timely delivery of PyTorch and related projects. Nikita is a Software Engineer at Meta, where, among other things, Nikita is responsible for PyTorch releases and continuous integration. Nikita is committed to uplifting the developer community and continuously improving PyTorch. Shangdi is a Research Scientist at Meta, where, among other things, she builds PyTorch Compile tooling to improve debuggability and observability. Ashok is a Software Engineering Manager at Intel on the PyTorch team, focused on performance, optimizations, and platform enablement for PyTorch on Intel hardware.