diff --git a/README.en.md b/README.en.md
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--- a/README.en.md
+++ b/README.en.md
@@ -13,7 +13,7 @@ You can read [TF_Adapter Interface](https://support.huaweicloud.com/mprtg-A800_9
 
 You can build the TF_Adapter software package from the source code and install it on the Shengteng AI processor environment.
 > The TF_Adapter plug-in has a strict matching relationship with Tensorflow. Before building from source code, you need to ensure that it has been installed correctly [Tensorflow v1.15.0
->版本](https://www.tensorflow.org/install) 。
+>版本](https://www.tensorflow.org/install/pip) 。
 
 You may also build GraphEngine from source. To build GraphEngine, please make sure that you have access to an Ascend 910 environment as compiling environment, and make sure that following software requirements are fulfilled.
 - Linux OS
diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -13,7 +13,7 @@ Tensorflow Adapter For Ascend（简称TF_Adapter）致力于将昇腾AI处理器
 
 您可以从源代码构建 TF_Adapter 软件包并将其安装在昇腾AI处理器环境上。
 > TF_Adapter 插件与 Tensorflow 有严格的匹配关系，从源码构建前，您需要确保已经正确安装了 [Tensorflow v1.15.0
->版本](https://www.tensorflow.org/install) 。
+>版本](https://www.tensorflow.org/install/pip) 。
 
 
 tfadapter也支持由源码编译，进行源码编译前，首先确保你有昇腾910 AI处理器的环境，同时系统满足以下要求：