From 94f89e8e103d81c319b9e76d44fabd03c09db630 Mon Sep 17 00:00:00 2001
From: William Falcon <falc@fb.com>
Date: Sat, 5 Oct 2019 14:15:09 -0400
Subject: [PATCH] cleaned up demos

---
 examples/basic_examples/README.md | 17 ++++++++---------
 1 file changed, 8 insertions(+), 9 deletions(-)

diff --git a/examples/basic_examples/README.md b/examples/basic_examples/README.md
index f23be2df..4e8e9b47 100644
--- a/examples/basic_examples/README.md
+++ b/examples/basic_examples/README.md
@@ -1,36 +1,35 @@
 # Basic Examples   
 Use these examples to test how lightning works.   
 
-### Test on CPU  
+#### Test on CPU  
 ```bash
 python cpu_template.py
 ```
 
-### Test on GPUs   
-This demo can train on a single GPU, multiple GPUs or multiple nodes by
-passing in different flags.   
-
-##### Train on a single GPU
+---   
+#### Train on a single GPU
 ```bash
 python gpu_template.py --gpus 1
 ```   
 
 ---    
-##### DataParallel (dp)   
+#### DataParallel (dp)   
 Train on multiple GPUs using DataParallel.
 
 ```bash
 python gpu_template.py --gpus 2 --distributed_backend dp
 ```   
 
-##### DistributedDataParallel (ddp)    
+---
+#### DistributedDataParallel (ddp)    
 
 Train on multiple GPUs using DistributedDataParallel   
 ```bash
 python gpu_template.py --gpus 2 --distributed_backend ddp
 ```
 
-##### DistributedDataParallel+DP (ddp2)    
+---
+#### DistributedDataParallel+DP (ddp2)    
 
 Train on multiple GPUs using DistributedDataParallel + dataparallel.
 On a single node, uses all GPUs for 1 model. Then shares gradient information