Hugging Face Launches torch.profiler Tutorial Series: From Reading Traces to Optimization
ariG23498 · x · 2026-08-20
Hugging Face published Part 1 of its Profiling in PyTorch series, a beginner-friendly guide to torch.profiler. The thesis: what you cannot profile, you cannot optimize — whether squeezing more tokens/sec from an LLM or debugging a slow training loop. The post walks through setting up the profiler, reading the table and trace (CPU lane, GPU lane, and suspicious gaps in between) in a question-led style requiring only basic PyTorch. Parts 2–3 will cover nn.Linear to fused MLP and attention. The first post has drawn 15k views.
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