diff --git a/paddle/majel/README.md b/paddle/majel/README.md
index 5539853056797284ca1fa5ef5ab16fa0059907f0..2573738b66b2bf514d06358262ef941e833daf0f 100644
--- a/paddle/majel/README.md
+++ b/paddle/majel/README.md
@@ -93,6 +93,19 @@ typedef boost::variant<
 
 Because `variant` may be thought of as "multi-type, single value", we can utilize it to implement unified interfaces for PaddlePaddle.
 
+`DDim` plays two kinds of roles in Majel. First, it is used to indicate the size of a tensor. For example, we can construct a new `DArray` by following way:
+ 
+ ```c++
+ DArray arr = make_darray(make_ddim({2,3}), 0.0f);
+ ```
+ It means that `arr` will be a two-dimension tensor, or a matrix. The size of its first dimension is 2 and the second is 3. All the element value of `arr` will be initialized as 0.0 .
+ 
+ The second meaning of `DDim` is tensor index. For example, if we want to access the value in the 1st row and 2nd column of `arr` and set it to 1.0, we can do like this:
+
+ ```c++
+ 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.
@@ -113,7 +126,7 @@ 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. 
+    `Dim` is an excellent implementation in Majel.
 
 > ???