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 →
XProf Documentation →
Subscribe to Google for Developers →
Speaker: Chris Achard
Products Mentioned: Google AI
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