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Unlock the full potential of your PyTorch models running on Google TPUs. We’ll look at how to profile PyTorch/XLA workloads on TPUs using XProf, and learn how to identify and eliminate bottlenecks in your training pipeline, ensuring you’re getting maximum performance from the TPU hardware.
Resources:
PyTorch/XLA GitHub → https://goo.gle/4pFTA8p
XProf Documentation → https://goo.gle/3Y5v7gU
Subscribe to Google for Developers → https://goo.gle/developers
Speaker: Chris Achard
Products Mentioned: Google AI Read More Google for Developers
