Update nni version in docs to announce 0.6 release (#951)

update version number

README.md

@@ -17,7 +17,7 @@
 NNI (Neural Network Intelligence) is a toolkit to help users run automated machine learning (AutoML) experiments. 
 The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.
 
-### **NNI [v0.5.2](https://github.com/Microsoft/nni/releases) has been released!**
+### **NNI [v0.6](https://github.com/Microsoft/nni/releases) has been released!**
 <p align="center">
   <a href="#nni-v05-has-been-released"><img src="docs/img/overview.svg" /></a>
 </p>
@@ -115,7 +115,7 @@ Note:
 * We support Linux (Ubuntu 16.04 or higher), MacOS (10.14.1) in our current stage. 
 * Run the following commands in an environment that has `python >= 3.5`, `git` and `wget`.
 ```bash	
-    git clone -b v0.5.2 https://github.com/Microsoft/nni.git
+    git clone -b v0.6 https://github.com/Microsoft/nni.git
     cd nni	
     source install.sh	
 ```
@@ -127,7 +127,7 @@ For the system requirements of NNI, please refer to [Install NNI](docs/en_US/Ins
 The following example is an experiment built on TensorFlow. Make sure you have **TensorFlow installed** before running it.	
 * Download the examples via clone the source code.	
 ```bash	
-    git clone -b v0.5.2 https://github.com/Microsoft/nni.git
+    git clone -b v0.6 https://github.com/Microsoft/nni.git
 ```
 * Run the mnist example.
 ```bash

README_zh_CN.md

@@ -10,7 +10,7 @@
 
 NNI (Neural Network Intelligence) 是自动机器学习（AutoML）的工具包。 它通过多种调优的算法来搜索最好的神经网络结构和（或）超参，并支持单机、本地多机、云等不同的运行环境。
 
-### **NNI [v0.5.2](https://github.com/Microsoft/nni/releases) 已发布！**
+### **NNI [v0.6](https://github.com/Microsoft/nni/releases) 已发布！**
 
 <p align="center">
   <a href="#nni-v05-has-been-released"><img src="docs/img/overview.svg" /></a>
@@ -116,7 +116,7 @@ NNI (Neural Network Intelligence) 是自动机器学习（AutoML）的工具包
 * 在 `python >= 3.5` 的环境中运行命令： `git` 和 `wget`，确保安装了这两个组件。
 
 ```bash
-    git clone -b v0.5.2 https://github.com/Microsoft/nni.git
+    git clone -b v0.6 https://github.com/Microsoft/nni.git
     cd nni  
     source install.sh   
 ```
@@ -130,7 +130,7 @@ NNI (Neural Network Intelligence) 是自动机器学习（AutoML）的工具包
 * 通过克隆源代码下载示例。 
 
 ```bash
-    git clone -b v0.5.2 https://github.com/Microsoft/nni.git
+    git clone -b v0.6 https://github.com/Microsoft/nni.git
 ```
 
 * 运行 mnist 示例。

deployment/docker/README.md

@@ -12,7 +12,7 @@ PyTorch 0.4.1
 scikit-learn 0.20.0
 pandas 0.23.4
 lightgbm 2.2.2
-NNI v0.5.1
+NNI v0.6
 ```
 You can take this Dockerfile as a reference for your own customized Dockerfile. 
 

deployment/docker/README_zh_CN.md

@@ -12,7 +12,7 @@
     scikit-learn 0.20.0
     pandas 0.23.4
     lightgbm 2.2.2
-    NNI v0.5.1
+    NNI v0.6
     
 
 此 Dockerfile 可作为定制的参考。

docs/en_US/Installation.md

@@ -15,7 +15,7 @@ Currently we only support installation on Linux & Mac.
 
   Prerequisite: `python >=3.5, git, wget`
   ```bash
-  git clone -b v0.5.2 https://github.com/Microsoft/nni.git
+  git clone -b v0.6 https://github.com/Microsoft/nni.git
   cd nni
   ./install.sh
   ```

docs/en_US/conf.py

@@ -28,7 +28,7 @@ author = 'Microsoft'
 # The short X.Y version
 version = ''
 # The full version, including alpha/beta/rc tags
-release = 'v0.5.1'
+release = 'v0.6'
 
 # -- General configuration ---------------------------------------------------
 

docs/zh_CN/Installation.md

@@ -17,7 +17,7 @@
     先决条件：`python >=3.5, git, wget`
     
     ```bash
-    git clone -b v0.5.2 https://github.com/Microsoft/nni.git
+    git clone -b v0.6 https://github.com/Microsoft/nni.git
     cd nni
     ./install.sh
     ```

docs/zh_CN/conf.py

@@ -28,7 +28,7 @@ author = 'Microsoft'
 # The short X.Y version
 version = ''
 # The full version, including alpha/beta/rc tags
-release = 'v0.5.1'
+release = 'v0.6'
 
 # -- General configuration ---------------------------------------------------