Update documents due to new pip installation approach

README.md

@@ -21,15 +21,26 @@ The tool dispatches and runs trial jobs that generated by tuning algorithms to s
 
 ## **Install & Verify**
 
-**pip install** 
+**Install through pip** 
+* We only support Linux in current stage, Ubuntu 16.04 or higher are tested and supported. Simply run the following `pip install` in an environment that has `python >= 3.5`.
+```
+python3 -m pip install --user nni-pkg
+```
+
+**Install through source code**
 * We only support Linux in current stage, Ubuntu 16.04 or higher are tested and supported. Simply run the following `pip install` in an environment that has `python >= 3.5`, `git` and `wget`.
 ```
-python3 -m pip install -v --user git+https://github.com/Microsoft/nni.git@v0.2
+python3 -m pip install -v --user git+https://github.com/Microsoft/nni.git@v0.3
 source ~/.bashrc
 ```
 
-**verify install**
+**Verify install**
 * The following example is an experiment built on TensorFlow, make sure you have `TensorFlow installed` before running it.
+* And download the examples via clone the source code
+```bash
+    git clone https://github.com/Microsoft/nni.git@v0.3
+```
+* Then, run the mnist example
 ```bash
     nnictl create --config ~/nni/examples/trials/mnist/config.yml
 ```

deployment/docker/Dockerfile.build.base

@@ -64,7 +64,7 @@ RUN wget -qO- http://archive.apache.org/dist/hadoop/common/hadoop-${HADOOP_VERSI
 #
 #Install NNI
 #
-RUN pip3 install -v --user git+https://github.com/Microsoft/nni.git@v0.2
+RUN pip3 install --user nni-pkg
 
 ENV JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 \
     HADOOP_INSTALL=/usr/local/hadoop \

docs/GetStarted.md

@@ -14,12 +14,12 @@
 
 * __Install NNI through pip__
 
-      python3 -m pip install -v --user git+https://github.com/Microsoft/nni.git@v0.2
+      python3 -m pip install --user nni-pkg
       source ~/.bashrc
 
 * __Install NNI through source code__
    
-      git clone -b v0.2 https://github.com/Microsoft/nni.git
+      git clone -b v0.3 https://github.com/Microsoft/nni.git
       cd nni
       chmod +x install.sh
       source install.sh

docs/RemoteMachineMode.md

@@ -15,7 +15,7 @@ For remote machines that are used only to run trials but not the nnictl, you can
 
 * __Install python SDK through pip__
 
-      python3 -m pip install --user git+https://github.com/Microsoft/NeuralNetworkIntelligence.git#subdirectory=src/sdk/pynni
+      python3 -m pip install --user nni
 
 * __Install python SDK through source code__
 

docs/tutorial_2_RemoteMachineMode.md

@@ -15,7 +15,7 @@ For remote machines that are used only to run trials but not the nnictl, you can
 
 * __Install python SDK through pip__
 
-      python3 -m pip install --user git+https://github.com/Microsoft/NeuralNetworkIntelligence.git#subdirectory=src/sdk/pynni
+      python3 -m pip install --user nni
 
 * __Install python SDK through source code__
 

src/nni_manager/training_service/pai/paiData.ts

@@ -56,7 +56,7 @@ if python3 -c 'import nni' > /dev/null 2>&1; then
   return
 else
   # Install nni
-  pip3 install -v --user git+https://github.com/Microsoft/nni.git@v0.2
+  pip3 install -v --user nnipkg
 fi`;
 
 export const PAI_TRIAL_COMMAND_FORMAT: string =