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

This post details the profiling and optimization of attention mechanisms within PyTorch, building upon previous work on nn.Linear and MLPs. It provides technical insights into analyzing and improving the performance of these core components for more efficient deep learning model development and deployment.