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

This article explains how to profile PyTorch models, focusing on transitioning from using nn.Linear layers to implementing a fused multi-layer perceptron (MLP) for performance optimization. It covers techniques to analyze and improve computational efficiency in neural networks.