Upgrade version to 0.9.0

README.md

@@ -42,9 +42,9 @@ Prepare System:
     # apt install python3 python3-pip python3-dev
     # apt install build-essential cmake curl clang-3.9 git zlib1g zlib1g-dev libtinfo-dev
 
-Clone nGraph's `v0.9.0-rc.3` tag, build and install it into `$HOME/ngraph_dist`:
+Clone nGraph's `v0.9.0` tag, build and install it into `$HOME/ngraph_dist`:
 
-    $ git clone -b 'v0.9.0-rc.3' --single-branch --depth 1 https://github.com/NervanaSystems/ngraph.git
+    $ git clone -b 'v0.9.0' --single-branch --depth 1 https://github.com/NervanaSystems/ngraph.git
     $ mkdir ngraph/build
     $ cd ngraph/build
     $ cmake ../ -DNGRAPH_USE_PREBUILT_LLVM=TRUE -DCMAKE_INSTALL_PREFIX=$HOME/ngraph_dist
@@ -67,7 +67,7 @@ Once the Python binary wheel file (`ngraph-*.whl`) is prepared you can install i
 
 For example:
 
-    (your_venv) $ pip install -U dist/ngraph-0.2.0-cp35-cp35m-linux_x86_64.whl
+    (your_venv) $ pip install -U dist/ngraph-0.7.0-cp35-cp35m-linux_x86_64.whl
 
 You can check that nGraph is properly installed in your Python shell:
 
@@ -84,7 +84,7 @@ If you don't see any errors, nGraph should be installed correctly.
 
 You can install ngraph-onnx using pip:
 
-     (your_venv) $ pip install git+https://github.com/NervanaSystems/ngraph-onnx/@v0.9.0-rc.3
+     (your_venv) $ pip install git+https://github.com/NervanaSystems/ngraph-onnx/@v0.9.0
 
 
 ## Usage example

setup.py

@@ -5,11 +5,11 @@
 from setuptools import find_packages
 
 setup(name='ngraph-onnx',
-      version='0.2.0',
+      version='0.9.0',
       description='ONNX support for ngraph',
       author='Intel',
       author_email='intelnervana@intel.com',
       url='http://www.intelnervana.com',
       license='License :: OSI Approved :: Apache Software License',
-      packages=find_packages(exclude=['tests']),
-      install_requires=['setuptools', 'numpy', 'onnx', 'cachetools'])
+      packages=find_packages(exclude=['tests', 'tests_core']),
+      install_requires=['cachetools', 'ngraph', 'numpy', 'onnx', 'setuptools'])