Rename the pypi package for nni

README.Makefile.md

@@ -14,7 +14,7 @@ The targets will be detailed later.
 
 ## Dependencies
 
-NNI requires at least Node.js, Yarn, and PIP to build, while TypeScript is also recommended.
+NNI requires at least Node.js, Yarn, and pip to build, while TypeScript is also recommended.
 
 NNI requires Node.js, and all dependency libraries to run.
 Required Node.js libraries (including TypeScript) can be installed by Yarn, and required Python libraries can be installed by setuptools or PIP.

README.md

@@ -22,16 +22,29 @@ The tool dispatches and runs trial jobs generated by tuning algorithms to search
 
 ## **Install & Verify**
 
-**pip install** 
-* 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
-source ~/.bashrc
+**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`.	
+```bash	
+    python3 -m pip install --user nni
 ```
 
-**verify install**
-* The following example is an experiment built on TensorFlow, make sure you have `TensorFlow installed` before running it.
+**Install through source code**
+* We only support Linux (Ubuntu 16.04 or higher) in our current stage. 
+* Run the following commands in an environment that has `python >= 3.5`, `git` and `wget`.
+```bash	
+    git clone -b v0.3.0 https://github.com/Microsoft/nni.git	
+    cd nni	
+    source install.sh	
+```
+
+**Verify install**	
+* 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	
+    cd ~	
+    git clone -b v0.3.0 https://github.com/Microsoft/nni.git
+```
+* Run the mnist example.
 ```bash
     nnictl create --config ~/nni/examples/trials/mnist/config.yml
 ```

azure-pipelines.yml

@@ -1,23 +1,47 @@
-pool:
-  vmImage: 'Ubuntu 16.04'
-strategy:
-  matrix:
-    Python36:
-      PYTHON_VERSION: '3.6'
+jobs:
 
-steps:
+- job: 'Install_through_pip'
+  pool:
+    vmImage: 'Ubuntu 16.04'
+  strategy:
+    matrix:
+      Python36:
+        PYTHON_VERSION: '3.6'
+
+  steps:
+  - script: python3 -m pip install --upgrade pip setuptools
+    displayName: 'Install python tools'
+  - script: |
+      python3 -m pip install nni --user
+    displayName: 'Install nni toolkit via pip'
+  - script: |
+      cd test
+      PATH=$HOME/.local/bin:$PATH python3 naive_test.py
+    displayName: 'Integration tests'
+  - script: |
+      cd test
+      PATH=$HOME/.local/bin:$PATH python3 sdk_tuner_test.py
+    displayName: 'Built-in tuner tests'
+
+- job: 'Install_through_source_code'
+  pool:
+    vmImage: 'Ubuntu 16.04'
+  strategy:
+    matrix:
+      Python36:
+        PYTHON_VERSION: '3.6'
+
+  steps:
   - script: python3 -m pip install --upgrade pip setuptools
     displayName: 'Install python tools'
   - script: |
       source install.sh
-    displayName: 'Install dependencies'
+    displayName: 'Install nni toolkit via source code'
   - script: |
       cd test
-      export PATH=$HOME/.local/bin:$PATH
-      python3 naive_test.py
+      PATH=$HOME/.local/bin:$PATH python3 naive_test.py
     displayName: 'Integration tests'
   - script: |
       cd test
-      export PATH=$HOME/.local/bin:$PATH
-      python3 sdk_tuner_test.py
-    displayName: 'Built-in tuner tests'
+      PATH=$HOME/.local/bin:$PATH python3 sdk_tuner_test.py
+    displayName: 'Built-in tuner tests'

deployment/docker/Dockerfile

@@ -53,7 +53,7 @@ RUN python3 -m pip --no-cache-dir install \
 #
 #Install NNI
 #
-RUN python3 -m pip install --user nni-pkg
+RUN python3 -m pip install --user nni
 
 #
 #Tensorflow 1.10.0

deployment/pypi/setup.py

@@ -10,7 +10,7 @@ with open('../../README.md', 'r') as fh:
     long_description = fh.read()
 
 setuptools.setup(
-    name = 'nni-pkg',
+    name = 'nni',
     version = '0.3.0',
     author = 'Microsoft NNI team',
     author_email = 'nni@microsoft.com',
@@ -22,12 +22,12 @@ setuptools.setup(
     packages = setuptools.find_packages(),
     python_requires = '>=3.5',
     install_requires = [
-        'nni',
+        'nni-sdk',
         'schema',
         'pyyaml',
         'psutil',
         'requests',
-        'paramiko'
+        'astor'
     ],
     classifiers = [
         'Programming Language :: Python :: 3',

docs/GetStarted.md

@@ -14,11 +14,11 @@
 
 * __Install NNI through pip__
 
-      python3 -m pip install --user nni-pkg
+      python3 -m pip install --user nni
 
 * __Install NNI through source code__
    
-      git clone -b v0.3 https://github.com/Microsoft/nni.git
+      git clone -b v0.3.0 https://github.com/Microsoft/nni.git
       cd nni
       source install.sh
 

docs/InstallNNI_Ubuntu.md

@@ -8,18 +8,16 @@
       git
       wget
 
-    python pip should also be correctly installed. You could use "which pip" or "pip -V" to check in Linux.
+    python pip should also be correctly installed. You could use "python3 -m pip -v" to check in Linux.
 
 * __Install NNI through pip__
 
-      pip3 install -v --user git+https://github.com/Microsoft/nni.git@v0.2
-      source ~/.bashrc
+      python3 -m pip install --user nni
 
 * __Install NNI through source code__
    
-      git clone -b v0.2 https://github.com/Microsoft/nni.git
+      git clone -b v0.3.0 https://github.com/Microsoft/nni.git
       cd nni
-      chmod +x install.sh
       source install.sh
 
 ## Further reading

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 nni
+      python3 -m pip install --user nni-sdk
 
 * __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 nni
+      python3 -m pip install --user nni-sdk
 
 * __Install python SDK through source code__
 

examples/trials/sklearn/requirements.txt

@@ -1,4 +1,4 @@
-pip3 install numpy
+python3 -m pip install numpy
 sudo apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran
-sudo pip3 install scipy
-sudo pip3 install sklearn
+sudo python3 -m pip install scipy
+sudo python3 -m pip install sklearn

setup.py

@@ -34,7 +34,7 @@ class CustomInstallCommand(install):
         subprocess.run(['make', 'pip-install'], check=True)
 
 setup(
-    name = 'NNI',
+    name = 'nni',
     version = '0.3.0',
     author = 'Microsoft NNI Team',
     author_email = 'nni@microsoft.com',

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
-  python3 -m pip install --user nni-pkg
+  python3 -m pip install --user nni
 fi`;
 
 export const PAI_TRIAL_COMMAND_FORMAT: string =

src/sdk/pynni/setup.py

@@ -26,7 +26,7 @@ def read(fname):
     return open(os.path.join(os.path.dirname(__file__), fname), encoding='utf-8').read()
 
 setuptools.setup(
-    name = 'nni',
+    name = 'nni-sdk',
     version = '0.3.0',
     packages = setuptools.find_packages(exclude=['tests']),
 

tools/README.md

@@ -11,7 +11,7 @@ python >= 3.5
 
  1. Enter tools directory  
  
- 2. Use pip3 to install packages
+ 2. Use pip to install packages
     * Install for current user:
 
           python3 -m pip install --user -e .