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A beginner-friendly guide to using torch.profiler to analyze PyTorch operations, starting with a simple matrix multiplication and bias addition. Covers how to set up profiling, read profiler tables and Chrome traces in Perfetto, understand the CPU-to-GPU dispatch chain, interpret overhead-bound vs compute-bound behavior, and observe what torch.compile actually does at the kernel level. Includes a practical cheatsheet for common trace patterns and their meanings.

Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler

The matrix multiplication and addition operation