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William Falcon 2020-03-01 22:41:39 -05:00 committed by J. Borovec
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@ -52,7 +52,9 @@ pip install pytorch-lightning
[Copy and run this COLAB!](https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=HOk9c4_35FKg)
## What is it?
Lightning is a way to organize your PyTorch code to decouple the science code from the engineering. It's more of a style-guide than a framework. By refactoring your code, we can automate most of the non-research code. Lightning guarantees tested, correct, modern best practices for the automated parts.
Lightning is a way to organize your PyTorch code to decouple the science code from the engineering. It's more of a style-guide than a framework.
By refactoring your code, we can automate most of the non-research code. Lightning guarantees tested, correct, modern best practices for the automated parts.
Here's an example of how to organize PyTorch code into the LightningModule.
@ -69,7 +71,7 @@ This is how lightning separates the science (red) from the engineering (blue).
![Overview](docs/source/_static/images/pl_overview.gif)
## How much effort is it to convert?
You're probably tired of switching frameworks at this point. But it is a very quick process to refactor into the Lightning format (ie: hours). [Check out this tutorial](https://towardsdatascience.com/how-to-refactor-your-pytorch-code-to-get-these-42-benefits-of-pytorch-lighting-6fdd0dc97538).
You're probably tired of switching frameworks at this point. But it is a very quick process to refactor into the Lightning format (ie: hours). [Check out this tutorial](https://towardsdatascience.com/from-pytorch-to-pytorch-lightning-a-gentle-introduction-b371b7caaf09).
## What are the differences with PyTorch?
If you're wondering what you gain out of refactoring your PyTorch code, [read this comparison!](https://towardsdatascience.com/from-pytorch-to-pytorch-lightning-a-gentle-introduction-b371b7caaf09)