Hugging Face: Profiling in PyTorch (Part 2) — From nn.Linear to a Fused MLP

Hugging Face Blog·medium signal

Hugging Face published the second part of a hands-on PyTorch profiling series, walking from a baseline nn.Linear through to a fused MLP implementation and the performance gains kernel fusion delivers. It's an implementation-depth tutorial on squeezing throughput out of common layers. Valuable for engineers optimizing inference or training cost at the kernel level.