chicm-ms · chicm-ms · May 12, 2020 · Apr 20, 2020 · Apr 20, 2020 · Apr 23, 2020
diff --git a/.github/ISSUE_TEMPLATE/bug-report.md b/.github/ISSUE_TEMPLATE/bug-report.md
@@ -32,3 +32,8 @@ Please fill this for deployment related issues:
 **need to update document(yes/no)**:
 
 **Anything else we need to know**:
+
+**Log message**:
+ - [nnimanager.log and dispatcher.log](https://github.com/microsoft/nni/blob/master/docs/en_US/Tutorial/HowToDebug.md#experiment-root-directory) : 
+
+ - [nnictl stdout and stderr](https://github.com/microsoft/nni/blob/master/docs/en_US/Tutorial/Nnictl.md#nnictl%20log%20stdout) : 
diff --git a/.github/ISSUE_TEMPLATE/studentProgram.md b/.github/ISSUE_TEMPLATE/studentProgram.md
@@ -3,27 +3,42 @@ name: Question for NNI Student Program China / NNI 学生项目问题表单
 about: NNI Student Program China issue template on Github
 
 ---
-<!-- Here is an issue template for NNI student program China. You are encouraged to raise concerns about any issue and share your ideas of NNI or our student program. Both Chinese and English are acceptable.
-
-If it is a general question / idea of NNI, you could just make a short summary.
-
-If it is a operational issue, please fill operational issue template and provide as many details as possible. Not doing so may result in your bug not being addressed in a timely manner. Thanks!-->
+<!--
+    Here is an issue template for NNI student program China. You are encouraged to raise concerns about any issue and share your ideas of NNI or our student program. Both Chinese and English are acceptable.
+
+    If it is a general question / idea of NNI, you could just make a short summary.
+
+    If it is a operational issue, please fill nni environment and provide as many details as possible. Not doing so may result in your bug not being addressed in a timely manner. Thanks!
+
+    下面是 NNI 学生项目问题表单，我们鼓励您提出问题或分享观点，期待同学们的思维碰撞和灵感火花!（中英文均可）
+    如果是概念性问题，您可以进行简单概述；
+    如果是操作性问题，您需要尽可能详细地提供 NNI 环境信息。
+-->
 
-## 问题概述
+## NNI 学生项目问题概述 / General Question of Student Program
 
-**请简要概述您的问题 / 观点** :
+**请简要概述您的问题 / 观点 :**
+**Short summary about the question / idea :**
 
+**请提供 NNI 环境信息 :**
+**nni Environment :**
+- nni version:
+- nni mode(local|pai|remote):
+- OS:
+- python version:
+- is conda or virtualenv used?:
+- is running in docker?:
 
-## 其他建议
+## 其他建议 / Other Advice
 
-**是否需要更新文档（是 / 否）** :
-**其他分享内容** :
+**是否需要更新文档（是 / 否）:**
+**Need to update document ( yes / no ) :**
 
-## General Question
+**其他分享内容 :**
+**Anything else we need to know :**
 
-**Short summary about the question / idea** :
+**Log message / 日志信息 :**
+ - [nnimanager.log and dispatcher.log](https://github.com/microsoft/nni/blob/master/docs/en_US/Tutorial/HowToDebug.md#experiment-root-directory) : 
 
+ - [nnictl stdout and stderr](https://github.com/microsoft/nni/blob/master/docs/en_US/Tutorial/Nnictl.md#nnictl%20log%20stdout) : 
 
-## Other Advice
-**Need to update document ( yes / no )** :
-**Anything else we need to know** :
diff --git a/Makefile b/Makefile
@@ -173,12 +173,12 @@ install-python-modules:
 dev-install-python-modules:
 	#$(_INFO) Installing Python SDK $(_END)
 	mkdir -p build
-	ln -sf ../src/sdk/pynni/nni build/nni
-	ln -sf ../src/sdk/pynni/nnicli build/nnicli
-	ln -sf ../tools/nni_annotation build/nni_annotation
-	ln -sf ../tools/nni_cmd build/nni_cmd
-	ln -sf ../tools/nni_trial_tool build/nni_trial_tool
-	ln -sf ../tools/nni_gpu_tool build/nni_gpu_tool
+	ln -sfT ../src/sdk/pynni/nni build/nni
+	ln -sfT ../src/sdk/pycli/nnicli build/nnicli
+	ln -sfT ../tools/nni_annotation build/nni_annotation
+	ln -sfT ../tools/nni_cmd build/nni_cmd
+	ln -sfT ../tools/nni_trial_tool build/nni_trial_tool
+	ln -sfT ../tools/nni_gpu_tool build/nni_gpu_tool
 	cp setup.py build/
 	cp README.md build/
 	sed -ie 's/$(NNI_VERSION_TEMPLATE)/$(NNI_VERSION_VALUE)/' build/setup.py
@@ -205,14 +205,14 @@ install-node-modules:
 .PHONY: dev-install-node-modules
 dev-install-node-modules:
 	#$(_INFO) Installing NNI Package $(_END)
-	rm -rf $(NNI_PKG_FOLDER)
-	ln -sf ${PWD}/src/nni_manager/dist $(NNI_PKG_FOLDER)
+	ln -sfT ${PWD}/src/nni_manager/dist $(NNI_PKG_FOLDER)
 	cp src/nni_manager/package.json $(NNI_PKG_FOLDER)
 	sed -ie 's/$(NNI_VERSION_TEMPLATE)/$(NNI_VERSION_VALUE)/' $(NNI_PKG_FOLDER)/package.json
-	ln -sf ${PWD}/src/nni_manager/node_modules $(NNI_PKG_FOLDER)/node_modules
-	ln -sf ${PWD}/src/webui/build $(NNI_PKG_FOLDER)/static
-	ln -sf ${PWD}/src/nasui/build $(NASUI_PKG_FOLDER)/build
-	ln -sf ${PWD}/src/nasui/server.js $(NASUI_PKG_FOLDER)/server.js
+	ln -sfT ${PWD}/src/nni_manager/node_modules $(NNI_PKG_FOLDER)/node_modules
+	ln -sfT ${PWD}/src/webui/build $(NNI_PKG_FOLDER)/static
+	mkdir -p $(NASUI_PKG_FOLDER)
+	ln -sfT ${PWD}/src/nasui/build $(NASUI_PKG_FOLDER)/build
+	ln -sfT ${PWD}/src/nasui/server.js $(NASUI_PKG_FOLDER)/server.js
 
 .PHONY: install-scripts
 install-scripts:

diff --git a/README.md b/README.md
@@ -16,7 +16,7 @@
 
 **NNI (Neural Network Intelligence)** is a lightweight but powerful toolkit to help users **automate** <a href="docs/en_US/FeatureEngineering/Overview.md">Feature Engineering</a>, <a href="docs/en_US/NAS/Overview.md">Neural Architecture Search</a>, <a href="docs/en_US/Tuner/BuiltinTuner.md">Hyperparameter Tuning</a> and <a href="docs/en_US/Compressor/Overview.md">Model Compression</a>.
 
-The tool manages automated machine learning (AutoML) experiments, **dispatches and runs** experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in **different training environments** like <a href="docs/en_US/TrainingService/LocalMode.md">Local Machine</a>, <a href="docs/en_US/TrainingService/RemoteMachineMode.md">Remote Servers</a>, <a href="docs/en_US/TrainingService/PaiMode.md">OpenPAI</a>, <a href="docs/en_US/TrainingService/KubeflowMode.md">Kubeflow</a>, <a href="docs/en_US/TrainingService/FrameworkControllerMode.md">FrameworkController on K8S (AKS etc.)</a> and other cloud options.
+The tool manages automated machine learning (AutoML) experiments, **dispatches and runs** experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in **different training environments** like <a href="docs/en_US/TrainingService/LocalMode.md">Local Machine</a>, <a href="docs/en_US/TrainingService/RemoteMachineMode.md">Remote Servers</a>, <a href="docs/en_US/TrainingService/PaiMode.md">OpenPAI</a>, <a href="docs/en_US/TrainingService/KubeflowMode.md">Kubeflow</a>, <a href="docs/en_US/TrainingService/FrameworkControllerMode.md">FrameworkController on K8S (AKS etc.)</a>, <a href="docs/en_US/TrainingService/DLTSMode.md">DLWorkspace (aka. DLTS)</a> and other cloud options.
 
 ## **Who should consider using NNI**
 
@@ -25,7 +25,7 @@ The tool manages automated machine learning (AutoML) experiments, **dispatches a
 * Researchers and data scientists who want to easily **implement and experiment new AutoML algorithms**, may it be: hyperparameter tuning algorithm, neural architect search algorithm or model compression algorithm.
 * ML Platform owners who want to **support AutoML in their platform**.
 
-### **NNI v1.5 has been released! &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>**
+### **[NNI v1.5 has been released!](https://github.com/microsoft/nni/releases) &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>**
 
 ## **NNI capabilities in a glance**
 
@@ -170,6 +170,7 @@ Within the following table, we summarized the current NNI capabilities, we are g
             <li><a href="docs/en_US/TrainingService/KubeflowMode.md">Kubeflow</a></li>
             <li><a href="docs/en_US/TrainingService/FrameworkControllerMode.md">FrameworkController on K8S (AKS etc.)</a></li>
             </ul>
+            <ul><li><a href="docs/en_US/TrainingService/DLTSMode.md">DLWorkspace (aka. DLTS)</a></li>        
       </ul>
       </td>
     </tr>
@@ -334,10 +335,15 @@ With authors' permission, we listed a set of NNI usage examples and relevant art
   * **Blog (in Chinese)** - [A summary of NNI new capabilities in 2019](https://mp.weixin.qq.com/s/7_KRT-rRojQbNuJzkjFMuA) by @squirrelsc
 
 ## **Feedback**
-
-* Discuss on the NNI [Gitter](https://gitter.im/Microsoft/nni?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) in NNI.
 * [File an issue](https://github.com/microsoft/nni/issues/new/choose) on GitHub.
 * Ask a question with NNI tags on [Stack Overflow](https://stackoverflow.com/questions/tagged/nni?sort=Newest&edited=true).
+* Discuss on the NNI [Gitter](https://gitter.im/Microsoft/nni?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) in NNI.
+
+Join IM discussion groups:
+|Gitter||WeChat|
+|----|----|----|
+|![image](https://user-images.githubusercontent.com/39592018/80665738-e0574a80-8acc-11ea-91bc-0836dc4cbf89.png)| OR |![image](https://github.com/JSong-Jia/NNI-user-group/blob/master/NNI%20user%20group_3.png)|
+
 
 ## Related Projects
 

diff --git a/README_zh_CN.md b/README_zh_CN.md
@@ -10,7 +10,7 @@
 
 **NNI (Neural Network Intelligence)** 是一个轻量但强大的工具包，帮助用户**自动**的进行[特征工程](docs/zh_CN/FeatureEngineering/Overview.md)，[神经网络架构搜索](docs/zh_CN/NAS/Overview.md)，[超参调优](docs/zh_CN/Tuner/BuiltinTuner.md)以及[模型压缩](docs/zh_CN/Compressor/Overview.md)。
 
-NNI 管理自动机器学习 (AutoML) 的 Experiment，**调度运行**由调优算法生成的 Trial 任务来找到最好的神经网络架构和/或超参，支持**各种训练环境**，如[本机](docs/zh_CN/TrainingService/LocalMode.md)，[远程服务器](docs/zh_CN/TrainingService/RemoteMachineMode.md)，[OpenPAI](docs/zh_CN/TrainingService/PaiMode.md)，[Kubeflow](docs/zh_CN/TrainingService/KubeflowMode.md)，[基于 K8S 的 FrameworkController（如，AKS 等)](docs/zh_CN/TrainingService/FrameworkControllerMode.md)，以及其它云服务。
+NNI 管理自动机器学习 (AutoML) 的 Experiment，**调度运行**由调优算法生成的 Trial 任务来找到最好的神经网络架构和/或超参，支持**各种训练环境**，如[本机](docs/zh_CN/TrainingService/LocalMode.md)，[远程服务器](docs/zh_CN/TrainingService/RemoteMachineMode.md)，[OpenPAI](docs/zh_CN/TrainingService/PaiMode.md)，[Kubeflow](docs/zh_CN/TrainingService/KubeflowMode.md)，[基于 K8S 的 FrameworkController（如，AKS 等)](docs/zh_CN/TrainingService/FrameworkControllerMode.md)， [DLWorkspace (又称 DLTS)](docs/zh_CN/TrainingService/DLTSMode.md) 和其它云服务。
 
 ## **使用场景**
 
@@ -19,7 +19,7 @@ NNI 管理自动机器学习 (AutoML) 的 Experiment，**调度运行**由调优
 * 想要更容易**实现或试验新的自动机器学习算法**的研究员或数据科学家，包括：超参调优算法，神经网络搜索算法以及模型压缩算法。
 * 在机器学习平台中**支持自动机器学习**。
 
-### **NNI v1.5 已发布！ &nbsp;[<img width="48" src="docs/img/release_icon.png" />](#nni-released-reminder)**
+### **[NNI v1.5 已发布！](https://github.com/microsoft/nni/releases) &nbsp;[<img width="48" src="docs/img/release_icon.png" />](#nni-released-reminder)**
 
 ## **NNI 功能一览**
 
@@ -164,6 +164,7 @@ NNI 提供命令行工具以及友好的 WebUI 来管理训练的 Experiment。
             <li><a href="docs/zh_CN/TrainingService/KubeflowMode.md">Kubeflow</a></li>
             <li><a href="docs/zh_CN/TrainingService/FrameworkControllerMode.md">基于 Kubernetes（AKS 等）的 FrameworkController</a></li>
             </ul>
+            <ul><li><a href="docs/zh_CN/TrainingService/DLTSMode.md">DLWorkspace (又称 DLTS)</a></li>        
       </ul>
       </td>
     </tr>

diff --git a/docs/en_US/AdvancedFeature/MultiPhase.md b/docs/en_US/AdvancedFeature/MultiPhase.md
diff --git a/docs/en_US/NAS/NasGuide.md b/docs/en_US/NAS/NasGuide.md
@@ -156,12 +156,23 @@ model = Net()
 apply_fixed_architecture(model, "model_dir/final_architecture.json")
 ```
 
-The JSON is simply a mapping from mutable keys to one-hot or multi-hot representation of choices. For example
+The JSON is simply a mapping from mutable keys to choices. Choices can be expressed in:
+
+* A string: select the candidate with corresponding name.
+* A number: select the candidate with corresponding index.
+* A list of string: select the candidates with corresponding names.
+* A list of number: select the candidates with corresponding indices.
+* A list of boolean values: a multi-hot array.
+
+For example,
 
 ```json
 {
-    "LayerChoice1": [false, true, false, false],
-    "InputChoice2": [true, true, false]
+    "LayerChoice1": "conv5x5",
+    "LayerChoice2": 6,
+    "InputChoice3": ["layer1", "layer3"],
+    "InputChoice4": [1, 2],
+    "InputChoice5": [false, true, false, false, true]
 }
 ```
 

diff --git a/docs/en_US/Release.md b/docs/en_US/Release.md
@@ -206,7 +206,7 @@
 
 * Documentation
     - Update the docs structure  -Issue #1231
-    - [Multi phase document improvement](AdvancedFeature/MultiPhase.md)   -Issue #1233  -PR #1242
+    - (deprecated) Multi phase document improvement   -Issue #1233  -PR #1242
          + Add configuration example
     - [WebUI description improvement](Tutorial/WebUI.md)  -PR #1419
 
@@ -234,12 +234,10 @@
     * Add `enas-mode`  and `oneshot-mode` for NAS interface: [PR #1201](https://github.com/microsoft/nni/pull/1201#issue-291094510)
 * [Gaussian Process Tuner with Matern kernel](Tuner/GPTuner.md) 
 
-* Multiphase experiment supports
+* (deprecated) Multiphase experiment supports
     * Added new training service support for multiphase experiment: PAI mode supports multiphase experiment since v0.9.
     * Added multiphase capability for the following builtin tuners: 
         * TPE, Random Search, Anneal, Naïve Evolution, SMAC, Network Morphism, Metis Tuner.
-
-    For details, please refer to [Write a tuner that leverages multi-phase](AdvancedFeature/MultiPhase.md)
 
 * Web Portal
     * Enable trial comparation in Web Portal. For details, refer to [View trials status](Tutorial/WebUI.md)
@@ -549,4 +547,3 @@ Initial release of Neural Network Intelligence (NNI).
   * Support CI by providing out-of-box integration with [travis-ci](https://github.com/travis-ci) on ubuntu
 * Others
   * Support simple GPU job scheduling
-