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

The post explains how to use profiling tools in PyTorch to spot performance bottlenecks and replace nn.Linear layers with a fused MLP for faster execution. It provides example code and step‑by‑step instructions for measuring latency and applying the fusion to neural network models.

Summary written by Kernelia from the original article by Hugging Face Blog. The story and its rights belong to its author.