From af6d552d35ae9513115b51c85cdd0cccaeecac11 Mon Sep 17 00:00:00 2001 From: William Falcon Date: Thu, 12 Dec 2019 11:06:20 -0800 Subject: [PATCH] Update README.md --- README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 30806a6322..507b1597c1 100644 --- a/README.md +++ b/README.md @@ -38,9 +38,12 @@ 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 very lightweight wrapper on PyTorch that decouples the science code from the engineering code. +Lightning is a very lightweight wrapper on PyTorch that decouples the science code from the engineering code. It's more of a style-guide than a framework which automates the engineering code. -This means you don't have to learn a new library. To use Lightning, simply refactor your research code into the [LightningModule](https://github.com/williamFalcon/pytorch-lightning#how-do-i-do-use-it) format (the science) and Lightning will automate the rest (the engineering). Lightning guarantees tested, correct, modern best practices for the automated parts. +To use Lightning, simply refactor your research code into the [LightningModule](https://github.com/williamFalcon/pytorch-lightning#how-do-i-do-use-it) format (the science) and Lightning will automate the rest (the engineering). Lightning guarantees tested, correct, modern best practices for the automated parts. + +- If you are a researcher, Lightning is infinitely flexible, you can modify everything down to the way .backward is called or distributed is set up. +- If you are a scientist or production team, lightning is very simple to use with best practice defaults. ## What does lightning control for me?