Appendix D: PyTorch Lightning – High-Level Training Framework
Abstract: PyTorch Lightning is an open-source Python framework built on top of PyTorch, designed to simplify and streamline the process of training and deploying deep learning models. It provides a high-level interface that abstracts away much of the boilerplate code typically associated with PyTorch, allowing researchers and developers to focus more on model architecture and experimentation. Key features and benefits of PyTorch Lightning: Organized Code Structure: It promotes a structured way of writing PyTorch code by requiring users to define their model, training steps, and optimizers within a LightningModule . This organization makes code more readable, maintainable, and easier to collaborate on. Boilerplate Reduction: Lightning handles many common tasks automatically, such as managing the training loop, device placement (CPU/GPU), mixed-precision training, logging metrics, and checkpointing, reducing the amount of repetitive code a ...