diff --git a/paddle/majel/README.md b/paddle/majel/README.md
index 0f49b83c2ac724ac9d036d134d761c53b89a6260..2573738b66b2bf514d06358262ef941e833daf0f 100644
--- a/paddle/majel/README.md
+++ b/paddle/majel/README.md
@@ -48,9 +48,7 @@ int main()
 }
 ```
 
-In Majel, `DDimVar` is derived from `Dim`, `DArrayVar` is from 
-`Array`.
-
+In Majel, `DDimVar` is derived from `Dim`, `DArrayVar` is from `Array`.
 
 ```c++
 template<int i>
@@ -70,8 +68,8 @@ private:
     Dim<D> stride_;
     T* ptr_;
 };
-``` 
- 
+```
+
 ```c++
 typedef boost::variant<GpuPlace, CpuPlace> Place;
 typedef boost::variant<Dim<1>, Dim<2>, Dim<3>, Dim<4>, Dim<5>,
@@ -108,7 +106,6 @@ Because `variant` may be thought of as "multi-type, single value", we can utiliz
  arr[make_ddim({0, 1})] = 1.0；
  ```
 
-
 ## implement Tensor in Paddle
 
 Before writing code, please make sure you already look through Majel Source Code and grabbed the design philosophy of `DArray` in Majel.
@@ -130,7 +127,7 @@ To assign subtasks to our colleagues, we have to discuss how to divide it to ind
 - [ ] 3. Re-implement `Dim`.
 
     `Dim` is an excellent implementation in Majel.
-    
+
 > ???
 
 - [ ] 4. Re-implement `Array/Tensor`.