Research3h ago
PyTorch Profiling For Fused MLP Optimization
A Hugging Face technical guide demonstrates how to transition from standard nn.Linear layers to a fused MLP. The tutorial uses the PyTorch profiler to identify memory bottlenecks and kernel overhead. It shows that fusing operations reduces GPU memory trips. Developers can apply these profiling techniques to squeeze more performance out of custom transformer architectures.