Pytorch Lightning: Advanced Framework of Pytorch
PyTorch Lightning is a lightweight PyTorch wrapper that provides a high-level interface for training PyTorch models. It is designed to simplify and standardize the training loop, making it easier to write cleaner, more modular code for deep learning projects. PyTorch Lightning introduces a set of abstractions and conventions that remove boilerplate code and allow researchers and practitioners to focus more on the model architecture and experiment configurations.
PyTorch vs PyTorch Lightning
The PyTorch research team at Facebook AI Research (FAIR) introduced PyTorch Lightning to address these challenges and provide a more organized and standardized approach. In this article, we will see the major differences between PyTorch Lightning and Pytorch.
Table of Content
- Pytorch
- Pytorch Lightning: Advanced Framework of Pytorch
- Pytorch vs Pytorch Lightning
- Implementation: From Pytorch to Pytorch Lightning
- Code Difference between PyTorch and PyTorch Lightning
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