release related doc/note modification (#699)

release related doc/note modification for v0.5.1

README.md

@@ -14,7 +14,7 @@
 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](https://github.com/Microsoft/nni/releases) has been released!**
+### **NNI [v0.5.1](https://github.com/Microsoft/nni/releases) has been released!**
 <p align="center">
   <a href="#nni-v05-has-been-released"><img src="https://microsoft.github.io/nni/docs/img/overview.svg" /></a>
 </p>
@@ -112,7 +112,7 @@ 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 https://github.com/Microsoft/nni.git
+    git clone -b v0.5.1 https://github.com/Microsoft/nni.git
     cd nni	
     source install.sh	
 ```
@@ -124,7 +124,7 @@ For the system requirements of NNI, please refer to [Install NNI](docs/Installat
 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 https://github.com/Microsoft/nni.git
+    git clone -b v0.5.1 https://github.com/Microsoft/nni.git
 ```
 * Run the mnist example.
 ```bash

deployment/docker/README.md

@@ -6,13 +6,13 @@ This is the Dockerfile of NNI project. It includes serveral popular deep learnin
 ```
 CUDA 9.0, CuDNN 7.0
 numpy 1.14.3,scipy 1.1.0
-TensorFlow 1.10.0
+TensorFlow-gpu 1.10.0
 Keras 2.1.6
 PyTorch 0.4.1
 scikit-learn 0.20.0
 pandas 0.23.4
 lightgbm 2.2.2
-NNI v0.5
+NNI v0.5.1
 ```
 You can take this Dockerfile as a reference for your own customized Dockerfile. 
 
@@ -26,6 +26,8 @@ __Run the docker image__
 ```
     docker run -it nni/nni
 ```
+Note that if you want to use tensorflow, please uninstall tensorflow-gpu and install tensorflow in this docker container. Or modify `Dockerfile` to install tensorflow (without gpu) and build docker image.
+
 * If use GPU in docker container, make sure you have installed [NVIDIA Container Runtime](https://github.com/NVIDIA/nvidia-docker), then run the following command
 ```
     nvidia-docker run -it nni/nni

docs/RELEASE.md

 # ChangeLog
 
+## Release 0.5.1 - 1/31/2018
+### Improvements
+* Making [log directory](https://github.com/Microsoft/nni/blob/v0.5.1/docs/ExperimentConfig.md) configurable
+* Support [different levels of logs](https://github.com/Microsoft/nni/blob/v0.5.1/docs/ExperimentConfig.md), making it easier for debugging 
+
+### Documentation
+* Reorganized documentation & New Homepage Released: https://nni.readthedocs.io/en/latest/
+
+### Bug Fixes and Other Changes
+* Fix the bug of installation in python virtualenv, and refactor the installation logic
+* Fix the bug of HDFS access failure on PAI mode after PAI is upgraded. 
+* Fix the bug that sometimes in-place flushed stdout makes experiment crash
+
+
 ## Release 0.5.0 - 01/14/2019
 
 ### Major Features

docs/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'
+release = 'v0.5.1'
 
 # -- General configuration ---------------------------------------------------
 

src/webui/src/components/SlideBar.tsx

@@ -221,7 +221,7 @@ class SlideBar extends React.Component<{}, SliderState> {
               Download <Icon type="down" />
             </a>
           </Dropdown>
-          <a href="https://github.com/Microsoft/nni/issues/new?labels=v0.5" target="_blank">
+          <a href="https://github.com/Microsoft/nni/issues/new?labels=v0.5.1" target="_blank">
             <img
               src={require('../static/img/icon/issue.png')}
               alt="NNI github issue"