change v1.8 to v1.9 (#3017)

README.md

@@ -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 v1.8 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 v1.9 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**
 
@@ -246,7 +246,7 @@ The following example is built on TensorFlow 1.x. Make sure **TensorFlow 1.x is
 * Download the examples via clone the source code.
 
   ```bash
-  git clone -b v1.8 https://github.com/Microsoft/nni.git
+  git clone -b v1.9 https://github.com/Microsoft/nni.git
   ```
 
 * Run the MNIST example.

docs/en_US/NAS/Benchmarks.md

@@ -25,7 +25,7 @@ To avoid storage and legality issues, we do not provide any prepared databases.
 git clone -b ${NNI_VERSION} https://github.com/microsoft/nni
 cd nni/examples/nas/benchmarks
 ```
-Replace `${NNI_VERSION}` with a released version name or branch name, e.g., `v1.8`.
+Replace `${NNI_VERSION}` with a released version name or branch name, e.g., `v1.9`.
 
 2. Install dependencies via `pip3 install -r xxx.requirements.txt`. `xxx` can be `nasbench101`, `nasbench201` or `nds`.
 3. Generate the database via `./xxx.sh`. The directory that stores the benchmark file can be configured with `NASBENCHMARK_DIR` environment variable, which defaults to `~/.nni/nasbenchmark`. Note that the NAS-Bench-201 dataset will be downloaded from a google drive.

docs/en_US/TrainingService/AMLMode.md

@@ -93,4 +93,4 @@ cd nni/examples/trials/mnist-tfv1
 
 nnictl create --config config_aml.yml
 ```
-Replace `${NNI_VERSION}` with a released version name or branch name, e.g., `v1.8`.
+Replace `${NNI_VERSION}` with a released version name or branch name, e.g., `v1.9`.

docs/en_US/Tutorial/InstallationLinux.md

@@ -19,7 +19,7 @@ Installation on Linux and macOS follow the same instructions, given below.
   Prerequisites: `python 64-bit >=3.6`, `git`, `wget`
 
   ```bash
-  git clone -b v1.8 https://github.com/Microsoft/nni.git
+  git clone -b v1.9 https://github.com/Microsoft/nni.git
   cd nni
   ./install.sh
   ```
@@ -35,7 +35,7 @@ The following example is built on TensorFlow 1.x. Make sure **TensorFlow 1.x is
 * Download the examples via cloning the source code.
 
   ```bash
-  git clone -b v1.8 https://github.com/Microsoft/nni.git
+  git clone -b v1.9 https://github.com/Microsoft/nni.git
   ```
 
 * Run the MNIST example.

docs/en_US/Tutorial/InstallationWin.md

@@ -29,7 +29,7 @@ If you want to contribute to NNI, refer to [setup development environment](Setup
 * From source code
 
     ```bat
-    git clone -b v1.8 https://github.com/Microsoft/nni.git
+    git clone -b v1.9 https://github.com/Microsoft/nni.git
     cd nni
     powershell -ExecutionPolicy Bypass -file install.ps1
     ```
@@ -41,7 +41,7 @@ The following example is built on TensorFlow 1.x. Make sure **TensorFlow 1.x is
 * Clone examples within source code.
 
     ```bat
-    git clone -b v1.8 https://github.com/Microsoft/nni.git
+    git clone -b v1.9 https://github.com/Microsoft/nni.git
     ```
 
 * Run the MNIST example.

docs/en_US/conf.py

@@ -29,7 +29,7 @@ author = 'Microsoft'
 # The short X.Y version
 version = ''
 # The full version, including alpha/beta/rc tags
-release = 'v1.8'
+release = 'v1.9'
 
 # -- General configuration ---------------------------------------------------