diff --git a/README.md b/README.md
index dc12e98d1e7356bc75c24cbd50cd1d3865410126..d9912bf968daea84202a47fef1751720f6393668 100755
--- a/README.md
+++ b/README.md
@@ -9,7 +9,9 @@ TensorFlow Adapter For Ascend（简称TF Adapter）致力于将昇腾AI处理器
 ![tfadapter](https://images.gitee.com/uploads/images/2020/1027/094640_8f305b88_8175427.jpeg "framework.jpg")
 
 您可以通过阅读[昇腾社区文档中心](https://www.hiascend.com/zh/document)的《TensorFlow 迁移与训练》手册获取更多使用细节。
+a. 完成gcc、python等依赖的安装。
 
+b. 完成开发套件包Ascend-cann-toolkit*_{version}*_linux-*{arch}*.run的安装。
 ## 源码安装
 您可以通过此仓中的源代码构建TF Adapter软件包并将其部署在昇腾AI处理器所在环境上。
 
@@ -51,7 +53,7 @@ TensorFlow Adapter For Ascend（简称TF Adapter）致力于将昇腾AI处理器
        可执行如下命令进行SWIG(http://www.swig.org/download.html))的安装：
 
        `pip3 install swig`
-
+在部分场景下，您可能会把自己定制或者修改过的TensorFlow与TF Adapter软件包配合使用，由于TF Adapter默认链接的是TensorFlow官方网站的源码，因此您在使用TF Adapter软件包的时候，可能会因为符号不匹配而出现coredump问题。为了使TF Adapter能适配您的TensorFlow源码，您需要将TF Adapter源码下的tensorflow/cmake/tensorflow.cmake文件稍作修改，详细修改点如下：
 ### TF Adapter源码下载
 
 ```
@@ -87,6 +89,8 @@ chmod +x build.sh
 ./build/tfadapter/dist/python/dist/npu_bridge-1.15.0-py3-none-any.whl
 ```
 
+执行完成后，TF Adapter相关文件安装到python解释器搜索路径下，例如“/usr/local/python3.7.5/lib/python3.7/siite-packages”路径，安装后文件夹为“npu_bridge”与“npu_bridge-1.15.0.dist-info”。
+
 ### 安装TF Adapter
 执行如下命令安装TF Adapter。
 ```
@@ -98,21 +102,21 @@ pip3 install ./build/tfadapter/dist/python/dist/npu_bridge-1.15.0-py3-none-any.w
 欢迎参与贡献。
 
 ## 社区版本规划
-https://gitee.com/ascend/tensorflow/wikis/Home?sort_id=3076366
+https://gitee.com/ascend/tensorflow/wikis/Home?sort_id=3076366hhh
 
 ## Release Notes
 
-Release Notes请参考[RELEASE](RELEASE.md).
+Release Notes请参考[RELEASE](RELEASE.md).00
 
 ## FAQ
-#### 1. 执行./build.sh时提示配置swig的路径
-需要执行以下命令安装swig
+#### 1. 执行./build.sh时提示配置swig的路径11
+需要执行以下命令安装swig22
 ```
-pip3 install swig
+pip3 install swig33
 ```
-#### 2. Ubuntu系统中执行./build.sh时提示“Could not import the lzma module”
+#### 2. Ubuntu系统中执行./build.sh时提示“Could not import the lzma4 module”
 
-​     执行如下命令进行lzma的安装：
+​     执行如下命令进行lzma的安装：55
 
 ​     `apt-get install liblzma-dev`
 
diff --git a/configure.py b/configure.py
index c3ad92945919ef9495f4d10b67e7e2ca7e4e3684..7ba6b96f52fce4cc90c92743528c959c0169a94f 100755
--- a/configure.py
+++ b/configure.py
@@ -28,6 +28,16 @@ try:
     from shutil import which
 except ImportError:
     from distutils.spawn import find_executable as which
+# 新增注释1
+# 新增注释2
+# 新增注释3
+# 新增注释4
+# 新增注释5
+# 新增注释6
+# 新增注释7
+# 新增注释8
+# 新增注释9
+# 新增注释10
 
 _COMPAT_TENSORFLOW_VERSION = "1.15.0"
 _COMPAT_PYTHON_VERSION = "Python 3.7"
@@ -57,23 +67,31 @@ def get_input(question):
 def real_config_path(file):
     """Get complete file path"""
     return os.path.join("tools", file)
-
+# 新增注释11
+# 新增注释12
+# 新增注释13
+# 新增注释14
+# 新增注释15
+# 新增注释16
+# 新增注释17
+# 新增注释18
+# 新增注释19
 
 def setup_python():
-    """Get python install path."""
-    default_python_bin_path = which('python3.7')
-    custom_python_bin_path = ''
-    ask_python_bin_path = ''
-    if default_python_bin_path:
-        custom_python_bin_path = default_python_bin_path
-        compile_args = run_command([
-            custom_python_bin_path, '--version'])
+    """Get python install pat0h."""
+    default_python_bin_path0 = which('python3.7')
+    custom_python_bin_path0 = ''
+    ask_python_bin_path0 = ''
+    if default_python_bin_path0:
+        custom_python_bin_path0 = default_python_bin_path
+        compile_args = run_command0([
+            custom_python_bin_path0, '--version'])
         if _COMPAT_PYTHON_VERSION not in compile_args:
             print('Invalid default python version: %s, only support Python 3.7.' % compile_args)
-            ask_python_bin_path = ('Please specify the location of python with valid '
+            ask_python_bin_path0 = ('Please specify the location of python with valid '
                                    'tensorflow 1.15.0 site-packages installed. [Default '
                                    'is %s]\n(Please enter the correct python path: ') % default_python_bin_path
-            custom_python_bin_path = ''
+            custom_python_bin_path0 = ''
     else:
         ask_python_bin_path = ('Please specify the location of python with valid '
                                'tensorflow 1.15.0 site-packages installed. [Default '
@@ -90,12 +108,6 @@ def setup_python():
         # Check if the path is valid
         if os.path.isfile(python_bin_path) and os.access(python_bin_path, os.X_OK):
             pass
-        elif not os.path.exists(python_bin_path):
-            print('Invalid python path: %s cannot be found.' % python_bin_path)
-            continue
-        else:
-            print('%s is not executable.  Is it the python binary?' % python_bin_path)
-            continue
 
         try:
             compile_args = run_command([