From 7526eb0d388fcd6a360d39250f79e76ff67249a4 Mon Sep 17 00:00:00 2001
From: Tink_Y <31891223+tink2123@users.noreply.github.com>
Date: Wed, 6 Mar 2019 12:12:36 +0800
Subject: [PATCH 1/2] Update fluid_design_idea.md

---
 doc/fluid/advanced_usage/design_idea/fluid_design_idea.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/fluid/advanced_usage/design_idea/fluid_design_idea.md b/doc/fluid/advanced_usage/design_idea/fluid_design_idea.md
index 9fbcd8ac624..43feba2d523 100644
--- a/doc/fluid/advanced_usage/design_idea/fluid_design_idea.md
+++ b/doc/fluid/advanced_usage/design_idea/fluid_design_idea.md
@@ -194,7 +194,7 @@ Fluid中使用fluid.Executor(place)创建Executor，place属性由用户定义
 下例代码表示创建一个Executor，其运行场所在CPU内：
 
 ```python
-cpu=core.CPUPlace()
+cpu=fluid.CPUPlace()
 exe = fluid.Executor(cpu)
 ```
 
@@ -329,7 +329,7 @@ Fluid使用Executor来执行网络训练，Executor运行细节请参考[Executo
 创建Executor只需调用 fluid.Executor(place) 即可，在此之前请您依据训练场所定义place变量：
 ```python
  #在CPU内执行训练
- cpu = fluid.core.CPUPlace()
+ cpu = fluid.CPUPlace()
  #创建Executor
  exe = fluid.Executor(cpu)
 ```

From 898d4ddfef3fd7fa61d3e75f62fb26d195936aa1 Mon Sep 17 00:00:00 2001
From: Tink_Y <31891223+tink2123@users.noreply.github.com>
Date: Wed, 6 Mar 2019 12:14:37 +0800
Subject: [PATCH 2/2] Update fluid_design_idea_en.md

---
 doc/fluid/advanced_usage/design_idea/fluid_design_idea_en.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/fluid/advanced_usage/design_idea/fluid_design_idea_en.md b/doc/fluid/advanced_usage/design_idea/fluid_design_idea_en.md
index b1d8f99770a..a19dd48ac25 100644
--- a/doc/fluid/advanced_usage/design_idea/fluid_design_idea_en.md
+++ b/doc/fluid/advanced_usage/design_idea/fluid_design_idea_en.md
@@ -195,7 +195,7 @@ Fluid uses Fluid.Executor(place) to create an Executor. The place attribute is d
 The following code example creates an Executor that runs on CPU:
 
 ```python
-cpu=core.CPUPlace()
+cpu=fluid.CPUPlace()
 exe = fluid.Executor(cpu)
 ```
 
@@ -330,7 +330,7 @@ Fluid uses Executor to perform network training. For details on Executor operati
 To create an Executor, simply call fluid.Executor(place). Before that, please define a place variable based on the training site:
 ```python
  #Execute training on CPU
- cpu = fluid.core.CPUPlace()
+ cpu = fluid.CPUPlace()
  #Create Executor
  exe = fluid.Executor(cpu)
 ```