PyTorch 2.11 Release Live Q&A

The PyTorch 2.11 release features a number of improvements for distributed training and hardware-specific operator support. On Tuesday, March 31st at 10 am, Andrey Talman and Nikita Shulga will give a brief update on the release and answer your questions.

Topics:

• Differentiable Collectives for Distributed Training
• FlexAttention: Now includes a FlashAttention-4 backend on Hopper and Blackwell GPUs.
• MPS (Apple Silicon): Comprehensive operator expansion.
• RNN/LSTM GPU Export Support
• XPU Graph

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 and one of core maintainers for PyTorch. Among other things, Nikita maintains an MPS/Metal backend. Nikita is committed to uplifting the developer community and continuously improving PyTorch.