diff --git a/README.md b/README.md index 2b80ebf1..85e7a811 100644 --- a/README.md +++ b/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 diff --git a/setup.py b/setup.py index ad6da8e2..f13622f4 100644 --- a/setup.py +++ b/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', 'numpy', 'onnx', 'setuptools'])