Upgrade version to 0.10.0-rc.6 (#263)

* Update installation documentation

* Upgrade version to 10rc6 and update package dependencies with ngraph-core.

Author: Adam Rogowiec

BUILDING.md

@@ -36,9 +36,9 @@ 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 `v0.10.0-rc.5` tag, build and install it into `$HOME/ngraph_dist`:
+Clone nGraph's `v0.10.0-rc.6` tag, build and install it into `$HOME/ngraph_dist`:
 
-    $ git clone -b 'v0.10.0-rc.5' --single-branch --depth 1 https://github.com/NervanaSystems/ngraph.git
+    $ git clone -b 'v0.10.0-rc.6' --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
@@ -78,5 +78,5 @@ 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/@v0.10.0-rc.5
+     (your_venv) $ pip install git+https://github.com/NervanaSystems/ngraph-onnx/@v0.10.0-rc.6
 

setup.py

@@ -5,12 +5,12 @@
 from setuptools import find_packages
 
 setup(name='ngraph-onnx',
-      version='0.10.0-rc.5',
+      version='0.10.0-rc.6',
       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', 'tests.*', 'tests_core', 'tests_core.*']),
       data_files=[('', ['LICENSE']), ('licenses', glob('licenses/*'))],
-      install_requires=['cachetools', 'numpy', 'onnx', 'setuptools'])
+      install_requires=['cachetools', 'ngraph-core', 'numpy', 'onnx', 'setuptools'])