Improving model performance with PyTorch/XLA 2.6
Updated: 2025-01-31 17:00:00
Application Development Improving model performance with PyTorch XLA 2.6 February 1, 2025 Kyle Meggs Senior Product Manager Yifei Teng Software Engineer Join us at Google Cloud Next Early bird pricing available now through Feb . 14th Register For developers who want to use the PyTorch deep learning framework with Cloud TPUs , the PyTorch XLA Python package is key , offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes . It does so by leveraging OpenXLA developed by Google , which gives developers the ability to define their model once and run it on many different types of machine learning accelerators i.e . GPUs , TPUs , etc . Â The latest release of PyTorch XLA comes with several improvements that improve its performance for