!18 Add Installing Using Executable Files

Merge pull request !18 from TingWang/update-install

install/mindspore_cpu_install.md

@@ -9,6 +9,7 @@
         - [系统要求和软件依赖](#系统要求和软件依赖)
         - [Conda安装（可选）](#conda安装可选)
     - [安装指南](#安装指南)
+        - [通过可执行文件安装](#通过可执行文件安装)
         - [从源码编译安装](#从源码编译安装)
 - [安装MindArmour](#安装mindarmour)
 
@@ -42,6 +43,20 @@
 
 ## 安装指南
 
+### 通过可执行文件安装
+
+1. 从[MindSpore网站下载地址](https://www.mindspore.cn/versions)下载whl包，建议先进行SHA-256完整性校验，执行如下命令安装MindSpore。
+
+    ```bash
+    pip install mindspore-{version}-cp37-cp37m-linux_{arch}.whl
+    ```
+
+2. 执行如下命令，如果没有提示`No module named 'mindspore'`等加载错误的信息，则说明安装成功。
+
+    ```bash
+    python -c 'import mindspore'
+    ```
+
 ### 从源码编译安装
 
 1. 从代码仓下载源码。
@@ -88,6 +103,20 @@
 
 ## 安装指南
 
+### 通过可执行文件安装
+
+1. 从[MindSpore网站下载地址](https://www.mindspore.cn/versions)下载whl包，建议先进行SHA-256完整性校验，执行如下命令安装MindArmour。
+
+   ```bash
+   pip install mindarmour-{version}-cp37-cp37m-linux_{arch}.whl
+   ```
+
+2. 执行如下命令，如果没有提示`No module named 'mindarmour'`等加载错误的信息，则说明安装成功。
+
+   ```bash
+   python -c 'import mindarmour'
+   ```
+
 ### 从源码编译安装
 
 1. 从代码仓下载源码。

install/mindspore_cpu_install_en.md

@@ -9,6 +9,7 @@ This document describes how to quickly install MindSpore on a CPU environment.
         - [System Requirements and Software Dependencies](#system-requirements-and-software-dependencies)
         - [(Optional) Installing Conda](#optional-installing-conda)
     - [Installation Guide](#installation-guide)
+        - [Installing Using Executable Files](#installing-using-executable-files)
         - [Installing Using the Source Code](#installing-using-the-source-code)
 - [Installing MindArmour](#installing-mindarmour)
 
@@ -42,6 +43,20 @@ This document describes how to quickly install MindSpore on a CPU environment.
 
 ## Installation Guide
 
+### Installing Using Executable Files
+
+1. Download the .whl package from the [MindSpore website](https://www.mindspore.cn/versions/en). It is recommended to perform SHA-256 integrity verification first and run the following command to install MindSpore:
+
+    ```bash
+    pip install mindspore-{version}-cp37-cp37m-linux_{arch}.whl
+    ```
+
+2. Run the following command. If no loading error message such as `No module named 'mindspore'` is displayed, the installation is successful.
+
+    ```bash
+    python -c 'import mindspore'
+    ```
+
 ### Installing Using the Source Code
 
 1. Download the source code from the code repository.
@@ -88,6 +103,20 @@ If you need to conduct AI model security research or enhance the security of the
 
 ## Installation Guide
 
+### Installing Using Executable Files
+
+1. Download the .whl package from the [MindSpore website](https://www.mindspore.cn/versions/en). It is recommended to perform SHA-256 integrity verification first and run the following command to install MindArmour:
+
+   ```bash
+   pip install mindarmour-{version}-cp37-cp37m-linux_{arch}.whl
+   ```
+
+2. Run the following command. If no loading error message such as `No module named 'mindarmour'` is displayed, the installation is successful.
+
+   ```bash
+   python -c 'import mindarmour'
+   ```
+
 ### Installing Using the Source Code
 
 1. Download the source code from the code repository.

install/mindspore_d_install.md

@@ -11,6 +11,7 @@
         - [Conda安装（可选）](#conda安装可选)
         - [配套软件包依赖配置](#配套软件包依赖配置)
     - [安装指南](#安装指南)
+        - [通过可执行文件安装](#通过可执行文件安装)
         - [从源码编译安装](#从源码编译安装)
     - [配置环境变量](#配置环境变量)
     - [安装验证](#安装验证)
@@ -65,6 +66,14 @@
 
 ## 安装指南
 
+### 通过可执行文件安装
+
+- 从[MindSpore网站下载地址](https://www.mindspore.cn/versions)下载whl包，建议先进行SHA-256完整性校验，执行如下命令安装MindSpore。
+
+    ```bash
+    pip install mindspore-{version}-cp37-cp37m-linux_{arch}.whl
+    ```
+
 ### 从源码编译安装
 
 必须在Ascend 910 AI处理器的环境上进行编译安装。
@@ -156,6 +165,20 @@
 
 ## 安装指南
 
+### 通过可执行文件安装
+
+1. 从[MindSpore网站下载地址](https://www.mindspore.cn/versions)下载whl包，建议先进行SHA-256完整性校验，执行如下命令安装MindInsight。
+
+    ```bash
+    pip install mindinsight-{version}-cp37-cp37m-linux_{arch}.whl
+    ```
+
+2. 执行如下命令，如果提示`web address: http://127.0.0.1:8080`，则说明安装成功。
+
+    ```bash
+    mindinsight start
+    ```
+
 ### 从源码编译安装
 
 1. 从代码仓下载源码。
@@ -212,6 +235,20 @@
 
 ## 安装指南
 
+### 通过可执行文件安装
+
+1. 从[MindSpore网站下载地址](https://www.mindspore.cn/versions)下载whl包，建议先进行SHA-256完整性校验，执行如下命令安装MindArmour。
+
+   ```bash
+   pip install mindarmour-{version}-cp37-cp37m-linux_{arch}.whl
+   ```
+
+2. 执行如下命令，如果没有提示`No module named 'mindarmour'`等加载错误的信息，则说明安装成功。
+
+   ```bash
+   python -c 'import mindarmour'
+   ```
+
 ### 从源码编译安装
 
 1. 从代码仓下载源码。

install/mindspore_d_install_en.md

@@ -11,6 +11,7 @@ This document describes how to quickly install MindSpore on an Ascend AI process
         - [(Optional) Installing Conda](#optional-installing-conda)
         - [Configuring software package Dependencies](#configuring-software-package-dependencies)
     - [Installation Guide](#installation-guide)
+        - [Installing Using Executable Files](#installing-using-executable-files)
         - [Installing Using the Source Code](#installing-using-the-source-code)
     - [Configuring Environment Variables](#configuring-environment-variables)
     - [Installation Verification](#installation-verification)
@@ -64,6 +65,14 @@ This document describes how to quickly install MindSpore on an Ascend AI process
 
 ## Installation Guide
 
+### Installing Using Executable Files
+
+- Download the .whl package from the [MindSpore website](https://www.mindspore.cn/versions/en). It is recommended to perform SHA-256 integrity verification first and run the following command to install MindSpore:
+
+    ```bash
+    pip install mindspore-{version}-cp37-cp37m-linux_{arch}.whl
+    ```
+
 ### Installing Using the Source Code
 
 The compilation and installation must be performed on the Ascend 910 AI processor environment.
@@ -155,6 +164,20 @@ If you need to analyze information such as model scalars, graphs, and model trac
 
 ## Installation Guide
 
+### Installing Using Executable Files
+
+1. Download the .whl package from the [MindSpore website](https://www.mindspore.cn/versions/en). It is recommended to perform SHA-256 integrity verification first  and run the following command to install MindInsight:
+
+    ```bash
+    pip install mindinsight-{version}-cp37-cp37m-linux_{arch}.whl
+    ```
+
+2. Run the following command. If `web address: http://127.0.0.1:8080` is displayed, the installation is successful.
+
+    ```bash
+    mindinsight start
+    ```
+
 ### Installing Using the Source Code
 
 1. Download the source code from the code repository.
@@ -211,6 +234,20 @@ If you need to conduct AI model security research or enhance the security of the
 
 ## Installation Guide
 
+### Installing Using Executable Files
+
+1. Download the .whl package from the [MindSpore website](https://www.mindspore.cn/versions/en). It is recommended to perform SHA-256 integrity verification first  and run the following command to install MindArmour:
+
+   ```bash
+   pip install mindarmour-{version}-cp37-cp37m-linux_{arch}.whl
+   ```
+
+2. Run the following command. If no loading error message such as `No module named 'mindarmour'` is displayed, the installation is successful.
+
+   ```bash
+   python -c 'import mindarmour'
+   ```
+
 ### Installing Using the Source Code
 
 1. Download the source code from the code repository.

install/mindspore_gpu_install.md

@@ -10,6 +10,7 @@
         - [系统要求和软件依赖](#系统要求和软件依赖)
         - [Conda安装（可选）](#conda安装可选)
     - [安装指南](#安装指南)
+        - [通过可执行文件安装](#通过可执行文件安装)
         - [从源码编译安装](#从源码编译安装)
     - [安装验证](#安装验证)
 - [安装MindArmour](#安装mindarmour)
@@ -48,6 +49,14 @@
 
 ## 安装指南
 
+### 通过可执行文件安装
+
+- 从[MindSpore网站下载地址](https://www.mindspore.cn/versions)下载whl包，建议先进行SHA-256完整性校验，执行如下命令安装MindSpore。
+
+    ```bash
+    pip install mindspore-{version}-cp37-cp37m-linux_{arch}.whl
+    ```
+
 ### 从源码编译安装
 
 1. 从代码仓下载源码。
@@ -119,6 +128,20 @@
 
 ## 安装指南
 
+### 通过可执行文件安装
+
+1. 从[MindSpore网站下载地址](https://www.mindspore.cn/versions)下载whl包，建议先进行SHA-256完整性校验，执行如下命令安装MindArmour。
+
+   ```bash
+   pip install mindarmour-{version}-cp37-cp37m-linux_{arch}.whl
+   ```
+
+2. 执行如下命令，如果没有提示`No module named 'mindarmour'`等加载错误的信息，则说明安装成功。
+
+   ```bash
+   python -c 'import mindarmour'
+   ```
+
 ### 从源码编译安装
 
 1. 从代码仓下载源码。

install/mindspore_gpu_install_en.md

@@ -10,6 +10,7 @@ This document describes how to quickly install MindSpore on a NVIDIA GPU environ
         - [System Requirements and Software Dependencies](#system-requirements-and-software-dependencies)
         - [(Optional) Installing Conda](#optional-installing-conda)
     - [Installation Guide](#installation-guide)
+        - [Installing Using Executable Files](#installing-using-executable-files)
         - [Installing Using the Source Code](#installing-using-the-source-code)
     - [Installation Verification](#installation-verification)
 - [Installing MindArmour](#installing-mindarmour)
@@ -48,6 +49,14 @@ This document describes how to quickly install MindSpore on a NVIDIA GPU environ
 
 ## Installation Guide
 
+### Installing Using Executable Files
+
+- Download the .whl package from the [MindSpore website](https://www.mindspore.cn/versions/en). It is recommended to perform SHA-256 integrity verification first and run the following command to install MindSpore:
+
+    ```bash
+    pip install mindspore-{version}-cp37-cp37m-linux_{arch}.whl
+    ```
+
 ### Installing Using the Source Code
 
 1. Download the source code from the code repository.
@@ -119,6 +128,20 @@ If you need to conduct AI model security research or enhance the security of the
 
 ## Installation Guide
 
+### Installing Using Executable Files
+
+1. Download the .whl package from the [MindSpore website](https://www.mindspore.cn/versions/en). It is recommended to perform SHA-256 integrity verification first and run the following command to install MindArmour:
+
+   ```bash
+   pip install mindarmour-{version}-cp37-cp37m-linux_{arch}.whl
+   ```
+
+2. Run the following command. If no loading error message such as `No module named 'mindarmour'` is displayed, the installation is successful.
+
+   ```bash
+   python -c 'import mindarmour'
+   ```
+
 ### Installing Using the Source Code
 
 1. Download the source code from the code repository.