diff --git a/install/mindspore_cpu_install.md b/install/mindspore_cpu_install.md
index 45a1beee503131e6e0690bda2ba75e4980b6f6fe..49b23fbde9e75ddd6d51850d9b3d2a6563325380 100644
--- a/install/mindspore_cpu_install.md
+++ b/install/mindspore_cpu_install.md
@@ -68,11 +68,11 @@
 2. 在源码根目录下执行如下命令编译MindSpore。
 
     ```bash
-    bash build.sh -e cpu -z -j4
+    bash build.sh -e cpu -j4
     ```
     > - 在执行上述命令前，需保证可执行文件cmake和patch所在路径已加入环境变量PATH中。
     > - `build.sh`中会执行`git clone`获取第三方依赖库的代码，请提前确保git的网络设置正确可用。
-    > - 如果编译机性能较好，可在执行中增加-j{线程数}来增加线程数量。如`bash build.sh -e cpu -z -j12`。
+    > - 如果编译机性能较好，可在执行中增加-j{线程数}来增加线程数量。如`bash build.sh -e cpu -j12`。
 
 3. 执行如下命令安装MindSpore。
 
diff --git a/install/mindspore_cpu_install_en.md b/install/mindspore_cpu_install_en.md
index 5d2eaa21209ebf7bc5c191c3846654f35c30b95c..7e6df0bc512e5f4d4192005f3bcd6c2060ba2084 100644
--- a/install/mindspore_cpu_install_en.md
+++ b/install/mindspore_cpu_install_en.md
@@ -68,11 +68,11 @@ This document describes how to quickly install MindSpore on a Ubuntu system with
 2. Run the following command in the root directory of the source code to compile MindSpore:
 
     ```bash
-    bash build.sh -e cpu -z -j4
+    bash build.sh -e cpu -j4
     ```
     > - Before running the preceding command, ensure that the paths where the executable files cmake and patch store have been added to the environment variable PATH.
     > - In the `build.sh` script, the `git clone` command will be executed to obtain the code in the third-party dependency database. Ensure that the network settings of Git are correct.
-    > - If the compiler performance is strong, you can add -j{Number of threads} in to script to increase the number of threads. For example, `bash build.sh -e cpu -z -j12`.
+    > - If the compiler performance is strong, you can add -j{Number of threads} in to script to increase the number of threads. For example, `bash build.sh -e cpu -j12`.
 
 3. Run the following command to install MindSpore:
 
diff --git a/install/mindspore_d_install.md b/install/mindspore_d_install.md
index c2e1da96b851fc03a40451c8e2742588b4a8f0fa..76bf4fd4516497c2d2a4382cb40ffebd2bc3a36f 100644
--- a/install/mindspore_d_install.md
+++ b/install/mindspore_d_install.md
@@ -33,9 +33,9 @@
 
 | 版本号 | 操作系统 | 可执行文件安装依赖 | 源码编译安装依赖 |
 | ---- | :--- | :--- | :--- |
-| MindSpore master | - Ubuntu 18.04 aarch64 <br> - Ubuntu 18.04 x86_64 <br> - EulerOS 2.8 aarch64 <br> - EulerOS 2.5 x86_64 | - [Python](https://www.python.org/downloads/) 3.7.5 <br> - Ascend 910 AI处理器配套软件包（对应版本Atlas Data Center Solution V100R020C00T100） <br> - [gmp](https://gmplib.org/download/gmp/) 6.1.2 <br> - 其他依赖项参见[requirements.txt](https://gitee.com/mindspore/mindspore/blob/master/requirements.txt) | **编译依赖：**<br> - [Python](https://www.python.org/downloads/) 3.7.5 <br> - Ascend 910 AI处理器配套软件包（对应版本Atlas Data Center Solution V100R020C00T100） <br> - [wheel](https://pypi.org/project/wheel/) >= 0.32.0 <br> - [GCC](https://gcc.gnu.org/releases.html) 7.3.0 <br> - [CMake](https://cmake.org/download/) >= 3.14.1 <br> - [patch](http://ftp.gnu.org/gnu/patch/) >= 2.5 <br> - [gmp](https://gmplib.org/download/gmp/) 6.1.2 <br> **安装依赖：**<br> 与可执行文件安装依赖相同 |
+| MindSpore master | - Ubuntu 18.04 aarch64 <br> - Ubuntu 18.04 x86_64 <br> - EulerOS 2.8 aarch64 <br> - EulerOS 2.5 x86_64 | - [Python](https://www.python.org/downloads/) 3.7.5 <br> - Ascend 910 AI处理器配套软件包（对应版本Atlas Data Center Solution V100R020C00） <br> - [gmp](https://gmplib.org/download/gmp/) 6.1.2 <br> - 其他依赖项参见[requirements.txt](https://gitee.com/mindspore/mindspore/blob/master/requirements.txt) | **编译依赖：**<br> - [Python](https://www.python.org/downloads/) 3.7.5 <br> - Ascend 910 AI处理器配套软件包（对应版本Atlas Data Center Solution V100R020C00） <br> - [wheel](https://pypi.org/project/wheel/) >= 0.32.0 <br> - [GCC](https://gcc.gnu.org/releases.html) 7.3.0 <br> - [CMake](https://cmake.org/download/) >= 3.14.1 <br> - [patch](http://ftp.gnu.org/gnu/patch/) >= 2.5 <br> - [gmp](https://gmplib.org/download/gmp/) 6.1.2 <br> **安装依赖：**<br> 与可执行文件安装依赖相同 |
 
-- 确认当前用户有权限访问Ascend 910 AI处理器配套软件包（对应版本Atlas Data Center Solution V100R020C00T100）的安装路径`/usr/local/Ascend`，若无权限，需要root用户将当前用户添加到`/usr/local/Ascend`所在的用户组，具体配置请详见配套软件包的说明文档。
+- 确认当前用户有权限访问Ascend 910 AI处理器配套软件包（对应版本Atlas Data Center Solution V100R020C00）的安装路径`/usr/local/Ascend`，若无权限，需要root用户将当前用户添加到`/usr/local/Ascend`所在的用户组，具体配置请详见配套软件包的说明文档。
 - GCC 7.3.0可以直接通过apt命令安装。
 - 在联网状态下，安装whl包时会自动下载`requirements.txt`中的依赖项，其余情况需自行安装。
 
@@ -57,7 +57,7 @@
 
 ### 配套软件包依赖配置
 
- - 安装Ascend 910 AI处理器配套软件包（对应版本Atlas Data Center Solution V100R020C00T100）提供的whl包，whl包随配套软件包发布，升级配套软件包之后需要重新安装。
+ - 安装Ascend 910 AI处理器配套软件包（对应版本Atlas Data Center Solution V100R020C00）提供的whl包，whl包随配套软件包发布，升级配套软件包之后需要重新安装。
 
     ```bash
     pip install /usr/local/Ascend/fwkacllib/lib64/topi-{version}-py3-none-any.whl
@@ -88,11 +88,11 @@
 2. 在源码根目录下，执行如下命令编译MindSpore。
 
     ```bash
-    bash build.sh -e d -z
+    bash build.sh -e ascend
     ```
     > - 在执行上述命令前，需保证可执行文件`cmake`和`patch`所在路径已加入环境变量PATH中。
     > - `build.sh`中会执行`git clone`获取第三方依赖库的代码，请提前确保git的网络设置正确可用。
-    > - `build.sh`中默认的编译线程数为8，如果编译机性能较差可能会出现编译错误，可在执行中增加-j{线程数}来减少线程数量。如`bash build.sh -e d -z -j4`。
+    > - `build.sh`中默认的编译线程数为8，如果编译机性能较差可能会出现编译错误，可在执行中增加-j{线程数}来减少线程数量。如`bash build.sh -e ascend -j4`。
 
 3. 执行如下命令安装MindSpore。
 
@@ -103,19 +103,40 @@
 
 ## 配置环境变量
 
-- 安装好MindSpore之后，需要导出Runtime相关环境变量。
+- EulerOS操作系统，安装好MindSpore之后，需要导出Runtime相关环境变量。
 
     ```bash
     # control log level. 0-DEBUG, 1-INFO, 2-WARNING, 3-ERROR, default level is WARNING.
     export GLOG_v=2
+
     # Conda environmental options
     LOCAL_ASCEND=/usr/local/Ascend # the root directory of run package
+
     # lib libraries that the run package depends on
     export LD_LIBRARY_PATH=${LOCAL_ASCEND}/add-ons/:${LOCAL_ASCEND}/fwkacllib/lib64:${LD_LIBRARY_PATH}
+
+    # Environment variables that must be configured
+    export TBE_IMPL_PATH=${LOCAL_ASCEND}/opp/op_impl/built-in/ai_core/tbe  # TBE operator implementation tool path
+    export PATH=${LOCAL_ASCEND}/fwkacllib/ccec_compiler/bin/:${PATH}       # TBE operator compilation tool path
+    export PYTHONPATH=${TBE_IMPL_PATH}:${PYTHONPATH}                       # Python library that TBE implementation depends on
+    ```
+
+- Ubuntu操作系统，安装好MindSpore之后，需要导出Runtime相关环境变量，注意：需要将如下配置中{version}替换为环境上真实的版本号。
+
+    ```bash
+    # control log level. 0-DEBUG, 1-INFO, 2-WARNING, 3-ERROR, default level is WARNING.
+    export GLOG_v=2
+
+    # Conda environmental options
+    LOCAL_ASCEND=/usr/local/Ascend # the root directory of run package
+
+    # lib libraries that the run package depends on
+    export LD_LIBRARY_PATH=${LOCAL_ASCEND}/add-ons/:${LOCAL_ASCEND}/ascend-toolkit/{version}/fwkacllib/lib64:${LOCAL_ASCEND}/driver/lib64:${LD_LIBRARY_PATH}
+
     # Environment variables that must be configured
-    export TBE_IMPL_PATH=${LOCAL_ASCEND}/opp/op_impl/built-in/ai_core/tbe # TBE operator implementation tool path
-    export PATH=${LOCAL_ASCEND}/fwkacllib/ccec_compiler/bin/:${PATH} # TBE operator compilation tool path
-    export PYTHONPATH=${TBE_IMPL_PATH}:${PYTHONPATH} # Python library that TBE implementation depends on
+    export TBE_IMPL_PATH=${LOCAL_ASCEND}/ascend-toolkit/{version}/opp/op_impl/built-in/ai_core/tbe  # TBE operator implementation tool path
+    export PATH=${LOCAL_ASCEND}/ascend-toolkit/{version}/fwkacllib/ccec_compiler/bin/:${PATH}       # TBE operator compilation tool path
+    export PYTHONPATH=${TBE_IMPL_PATH}:${PYTHONPATH}                                                # Python library that TBE implementation depends on
     ```
 
 ## 安装验证
diff --git a/install/mindspore_d_install_en.md b/install/mindspore_d_install_en.md
index 1b93cae8a6785edf7a2545c65b39989bc818015f..57996d7c608ff94625108189c20d2210645396b3 100644
--- a/install/mindspore_d_install_en.md
+++ b/install/mindspore_d_install_en.md
@@ -32,9 +32,9 @@ This document describes how to quickly install MindSpore on an Ascend AI process
 
 | Version | Operating System | Executable File Installation Dependencies | Source Code Compilation and Installation Dependencies |
 | ---- | :--- | :--- | :--- |
-| MindSpore master | - Ubuntu 18.04 aarch64 <br> - Ubuntu 18.04 x86_64 <br> - EulerOS 2.8 aarch64 <br> - EulerOS 2.5 x86_64 | - [Python](https://www.python.org/downloads/) 3.7.5 <br> - Ascend 910 AI processor software package(Version:Atlas Data Center Solution V100R020C00T100) <br> - [gmp](https://gmplib.org/download/gmp/) 6.1.2 <br> - For details about other dependency items, see [requirements.txt](https://gitee.com/mindspore/mindspore/blob/master/requirements.txt). | **Compilation dependencies:**<br> - [Python](https://www.python.org/downloads/) 3.7.5 <br> - Ascend 910 AI processor software package(Version:Atlas Data Center Solution V100R020C00T100) <br> - [wheel](https://pypi.org/project/wheel/) >= 0.32.0 <br> - [GCC](https://gcc.gnu.org/releases.html) 7.3.0 <br> - [CMake](https://cmake.org/download/) >= 3.14.1 <br> - [patch](http://ftp.gnu.org/gnu/patch/) >= 2.5 <br> - [gmp](https://gmplib.org/download/gmp/) 6.1.2 <br> **Installation dependencies:**<br> same as the executable file installation dependencies. |
+| MindSpore master | - Ubuntu 18.04 aarch64 <br> - Ubuntu 18.04 x86_64 <br> - EulerOS 2.8 aarch64 <br> - EulerOS 2.5 x86_64 | - [Python](https://www.python.org/downloads/) 3.7.5 <br> - Ascend 910 AI processor software package(Version:Atlas Data Center Solution V100R020C00) <br> - [gmp](https://gmplib.org/download/gmp/) 6.1.2 <br> - For details about other dependency items, see [requirements.txt](https://gitee.com/mindspore/mindspore/blob/master/requirements.txt). | **Compilation dependencies:**<br> - [Python](https://www.python.org/downloads/) 3.7.5 <br> - Ascend 910 AI processor software package(Version:Atlas Data Center Solution V100R020C00) <br> - [wheel](https://pypi.org/project/wheel/) >= 0.32.0 <br> - [GCC](https://gcc.gnu.org/releases.html) 7.3.0 <br> - [CMake](https://cmake.org/download/) >= 3.14.1 <br> - [patch](http://ftp.gnu.org/gnu/patch/) >= 2.5 <br> - [gmp](https://gmplib.org/download/gmp/) 6.1.2 <br> **Installation dependencies:**<br> same as the executable file installation dependencies. |
 
-- Confirm that the current user has the right to access the installation path `/usr/local/Ascend `of Ascend 910 AI processor software package(Version:Atlas Data Center Solution V100R020C00T100). If not, the root user needs to add the current user to the user group where `/usr/local/Ascend` is located. For the specific configuration, please refer to the software package instruction document.
+- Confirm that the current user has the right to access the installation path `/usr/local/Ascend `of Ascend 910 AI processor software package(Version:Atlas Data Center Solution V100R020C00). If not, the root user needs to add the current user to the user group where `/usr/local/Ascend` is located. For the specific configuration, please refer to the software package instruction document.
 - GCC 7.3.0 can be installed by using apt command.
 - When the network is connected, dependency items in the `requirements.txt` file are automatically downloaded during .whl package installation. In other cases, you need to manually install dependency items.
 
@@ -56,7 +56,7 @@ This document describes how to quickly install MindSpore on an Ascend AI process
 
 ### Configuring software package Dependencies
 
- - Install the .whl package provided in Ascend 910 AI processor software package(Version:Atlas Data Center Solution V100R020C00T100). The .whl package is released with the software package. After software package is upgraded, reinstall the .whl package.
+ - Install the .whl package provided in Ascend 910 AI processor software package(Version:Atlas Data Center Solution V100R020C00). The .whl package is released with the software package. After software package is upgraded, reinstall the .whl package.
 
     ```bash
     pip install /usr/local/Ascend/fwkacllib/lib64/topi-{version}-py3-none-any.whl
@@ -87,11 +87,11 @@ The compilation and installation must be performed on the Ascend 910 AI processo
 2. Run the following command in the root directory of the source code to compile MindSpore:
 
     ```bash
-    bash build.sh -e d -z
+    bash build.sh -e ascend
     ```
     > - Before running the preceding command, ensure that the paths where the executable files `cmake` and `patch` store have been added to the environment variable PATH.
     > - In the `build.sh` script, the `git clone` command will be executed to obtain the code in the third-party dependency database. Ensure that the network settings of Git are correct.
-    > - In the `build.sh` script, the default number of compilation threads is 8. If the compiler performance is poor, compilation errors may occur. You can add -j{Number of threads} in to script to reduce the number of threads. For example, `bash build.sh -e d -z -j4`.
+    > - In the `build.sh` script, the default number of compilation threads is 8. If the compiler performance is poor, compilation errors may occur. You can add -j{Number of threads} in to script to reduce the number of threads. For example, `bash build.sh -e ascend -j4`.
 
 3. Run the following command to install MindSpore:
 
@@ -102,19 +102,40 @@ The compilation and installation must be performed on the Ascend 910 AI processo
 
 ## Configuring Environment Variables
 
-- After MindSpore is installed, export runtime-related environment variables.
+- In EulerOS, after MindSpore is installed, export runtime-related environment variables.
 
     ```bash
     # control log level. 0-DEBUG, 1-INFO, 2-WARNING, 3-ERROR, default level is WARNING.
     export GLOG_v=2
+
     # Conda environmental options
     LOCAL_ASCEND=/usr/local/Ascend # the root directory of run package
+
     # lib libraries that the run package depends on
     export LD_LIBRARY_PATH=${LOCAL_ASCEND}/add-ons/:${LOCAL_ASCEND}/fwkacllib/lib64:${LD_LIBRARY_PATH}
+
+    # Environment variables that must be configured
+    export TBE_IMPL_PATH=${LOCAL_ASCEND}/opp/op_impl/built-in/ai_core/tbe  # TBE operator implementation tool path
+    export PATH=${LOCAL_ASCEND}/fwkacllib/ccec_compiler/bin/:${PATH}       # TBE operator compilation tool path
+    export PYTHONPATH=${TBE_IMPL_PATH}:${PYTHONPATH}                       # Python library that TBE implementation depends on
+    ```
+
+- In Ubuntu, after MindSpore is installed, export runtime-related environment variables. Note: you need to replace {version} in the following configuration with the actual version number on the environment.
+
+    ```bash
+    # control log level. 0-DEBUG, 1-INFO, 2-WARNING, 3-ERROR, default level is WARNING.
+    export GLOG_v=2
+
+    # Conda environmental options
+    LOCAL_ASCEND=/usr/local/Ascend # the root directory of run package
+
+    # lib libraries that the run package depends on
+    export LD_LIBRARY_PATH=${LOCAL_ASCEND}/add-ons/:${LOCAL_ASCEND}/ascend-toolkit/{version}/fwkacllib/lib64:${LOCAL_ASCEND}/driver/lib64:${LD_LIBRARY_PATH}
+
     # Environment variables that must be configured
-    export TBE_IMPL_PATH=${LOCAL_ASCEND}/opp/op_impl/built-in/ai_core/tbe # TBE operator implementation tool path
-    export PATH=${LOCAL_ASCEND}/fwkacllib/ccec_compiler/bin/:${PATH} # TBE operator compilation tool path
-    export PYTHONPATH=${TBE_IMPL_PATH}:${PYTHONPATH} # Python library that TBE implementation depends on
+    export TBE_IMPL_PATH=${LOCAL_ASCEND}/ascend-toolkit/{version}/opp/op_impl/built-in/ai_core/tbe  # TBE operator implementation tool path
+    export PATH=${LOCAL_ASCEND}/ascend-toolkit/{version}/fwkacllib/ccec_compiler/bin/:${PATH}       # TBE operator compilation tool path
+    export PYTHONPATH=${TBE_IMPL_PATH}:${PYTHONPATH}                                                # Python library that TBE implementation depends on
     ```
 
 ## Installation Verification
diff --git a/install/mindspore_gpu_install.md b/install/mindspore_gpu_install.md
index 7aa1e902ac4ef75ccc4551fae18976a983dc6a24..95f6c23866ba3d78c15ce1d333a880aeca9bedf6 100644
--- a/install/mindspore_gpu_install.md
+++ b/install/mindspore_gpu_install.md
@@ -68,11 +68,11 @@
 
 2. 在源码根目录下执行如下命令编译MindSpore。
     ```bash
-	bash build.sh -e gpu -M on -z
+	bash build.sh -e gpu
     ```
     > - 在执行上述命令前，需保证可执行文件`cmake`和`patch`所在路径已加入环境变量PATH中。
     > - `build.sh`中会执行`git clone`获取第三方依赖库的代码，请提前确保git的网络设置正确可用。
-    > - `build.sh`中默认的编译线程数为8，如果编译机性能较差可能会出现编译错误，可在执行中增加-j{线程数}来减少线程数量。如`bash build.sh -e gpu -M on -z -j4`。
+    > - `build.sh`中默认的编译线程数为8，如果编译机性能较差可能会出现编译错误，可在执行中增加-j{线程数}来减少线程数量。如`bash build.sh -e gpu -j4`。
 
 3. 执行如下命令安装MindSpore。
 
diff --git a/install/mindspore_gpu_install_en.md b/install/mindspore_gpu_install_en.md
index 7507771b6e5d4d491b436d75a2243322049fab4a..a137ca4e4877d7b11546f8c6a3523bf66dd578b8 100644
--- a/install/mindspore_gpu_install_en.md
+++ b/install/mindspore_gpu_install_en.md
@@ -68,11 +68,11 @@ This document describes how to quickly install MindSpore on a NVIDIA GPU environ
 
 2. Run the following command in the root directory of the source code to compile MindSpore:
     ```bash
-	bash build.sh -e gpu -M on -z
+	bash build.sh -e gpu
     ```
     > - Before running the preceding command, ensure that the paths where the executable files `cmake` and `patch` store have been added to the environment variable PATH.
     > - In the `build.sh` script, the `git clone` command will be executed to obtain the code in the third-party dependency database. Ensure that the network settings of Git are correct.
-    > - In the `build.sh` script, the default number of compilation threads is 8. If the compiler performance is poor, compilation errors may occur. You can add -j{Number of threads} in to script to reduce the number of threads. For example, `bash build.sh -e gpu -M on -z -j4`.
+    > - In the `build.sh` script, the default number of compilation threads is 8. If the compiler performance is poor, compilation errors may occur. You can add -j{Number of threads} in to script to reduce the number of threads. For example, `bash build.sh -e gpu -j4`.
 
 3. Run the following command to install MindSpore: