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Stop guessing why your model is slow — start profiling to find exactly where the time goes.
This beginner's guide walks you through profiling in PyTorch using torch.profiler. Learn how to identify performance bottlenecks, visualize GPU and…
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Training time splits across dozens of operations. Profiling pinpoints the exact bottleneck so you stop wasting compute hours.
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PyTorch's built-in profiler is your microscope for inspecting CPU and GPU activity. It's powerful and beginner-friendly.
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Wrap your training loop with torch.profiler to capture detailed timing data. Just a few lines of code reveal hidden inefficiencies.
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Export profiling traces and visualize GPU utilization in Chrome Trace Viewer. Turn raw data into faster training runs.
Get hands-on code examples, step-by-step profiling walkthroughs, and pro tips to supercharge your PyTorch workflow.