PyTorch Lightning for Dummies - A Tutorial and Overview

PyTorch Lightning is a high-level framework built on top of PyTorch that abstracts away boilerplate code, making it easier for researchers and developers to focus on building great models. It provides benefits such as faster experimentation, scalability, and ease of use by organizing the training process in an object-oriented manner. In this tutorial, we explored the differences between Lightning and ordinary PyTorch, understood the Lightning workflow, and built a GAN model to see Lightning in action. The main benefits of using PyTorch Lightning include automation, lack of hardware references, removal of boilerplate code, and inclusion of best practices from top AI labs.