Learn how PyreFly enables end-to-end static shape coverage for PyTorch models.
Ever wondered why type systems don't automatically track tensor shapes across your neural network modules?
In his session at PyTorch Conference North America 2026, Avik Chaudhuri from Meta will introduce Pyrefly, a static type checker for Python which enables end-to-end static shape coverage for PyTorch models.
Join us in San Jose, CA, October 20-21 to explore the future of open source AI and the impact of PyTorch Foundation projects like PyTorch, vLLM, DeepSpeed, Ray, Helion, and Safetensors.

Register now: https://hubs.la/Q04w5M9L0
PyTorch
Welcome to the official PyTorch YouTube Channel. Learn about the latest PyTorch tutorials, new, and more. PyTorch is an open source machine learning framework that is used by both researchers and developers to build, train, and deploy ML systems that so...