Enable Travis CI (#806)

* Enable Travis CI

* Enable Travis CI - update README

* Travis CI - Parallel testing

.ci/travis/ubuntu/Dockerfile

+FROM ubuntu:16.04
+
+# nGraph dependencies
+RUN apt-get update && apt-get install -y \
+  build-essential \
+  cmake \
+  clang-3.9 \
+  clang-format-3.9 \
+  git \
+  curl \
+  zlib1g \
+  zlib1g-dev \
+  libtinfo-dev && \
+  apt-get clean autoclean && apt-get autoremove -y
+
+# Python dependencies
+RUN apt-get update && apt-get install -y \
+  python \
+  python3 \
+  python-dev \
+  python3-dev \
+  python-pip && \
+  apt-get clean autoclean && apt-get autoremove -y
+RUN pip install --upgrade pip setuptools wheel
+RUN pip install tox
+
+# Prepare nGraph
+COPY . /root/ngraph
+RUN mkdir /root/ngraph/build
+WORKDIR /root/ngraph/build
+RUN cmake ../ -DNGRAPH_USE_PREBUILT_LLVM=TRUE
+RUN make -j 8
+RUN make install
+
+# Prepare nGraph Python API
+RUN mkdir /root/ngraph/python/build
+WORKDIR /root/ngraph/python/build
+RUN cmake -DNGRAPH_INSTALL_PREFIX=/root/ngraph_dist ..
+RUN make -j 8
+ENV NGRAPH_CPP_BUILD_PATH /root/ngraph_dist
+ENV LD_LIBRARY_PATH /root/ngraph_dist/lib
+ENV PYBIND_HEADERS_PATH /root/ngraph/python/build/pybind11
+
+# Test nGraph and nGraph Python API
+CMD cd /root/ngraph/build && make check ; cd /root/ngraph/python && tox

.ci/travis/ubuntu/run_test.sh

+#!/bin/bash
+
+echo "TASK:" ${TASK}
+
+if [ ${TASK} == "cpp_test" ]; then
+    docker run -w '/root/ngraph/build' test_ngraph make check
+fi
+
+if [ ${TASK} == "python2_test" ]; then
+    docker run -w '/root/ngraph/python' test_ngraph tox -e py27
+fi
+
+if [ ${TASK} == "python3_test" ]; then
+    docker run -w '/root/ngraph/python' test_ngraph tox -e py35
+fi

.travis.yml

+sudo: required
+
+language: cpp
+
+services:
+  - docker
+
+env:
+  - TASK=cpp_test
+  - TASK=python2_test
+  - TASK=python3_test
+
+before_install:
+  - docker build -t test_ngraph -f .ci/travis/ubuntu/Dockerfile .
+
+install: true
+
+script:
+  - .ci/travis/ubuntu/run_test.sh
+
+branches:
+  only:
+    - "master"

README.md

-# nGraph library
+# nGraph library [![Build Status][build-status-badge]][build-status]
 
 Welcome to Intel® nGraph™, an open source C++ library, compiler and
 runtime. This project enables modern compute platforms to run and
@@ -20,7 +20,7 @@ supports a variety of backends used by Deep Learning (DL) frameworks.
 
 ## Documentation
 
-See our [install] docs for how to get started. 
+See our [install] docs for how to get started.
 
 For this early release, we provide [framework integration guides] to
 compile MXNet and TensorFlow-based projects. If you already have a
@@ -42,6 +42,9 @@ to improve the library:
 * Ensure you can build the product and run all the examples with your patch.
 * In the case of a larger feature, create a test.
 * Submit a [pull request].
+* Make sure your PR passes all CI tests. Note: our [Travis-CI][build-status] service
+  runs only on a CPU backend on Linux. We will run additional tests
+  in other environments.
 * We will review your contribution and, if any additional fixes or
   modifications are necessary, may provide feedback to guide you. When
   accepted, your pull request will be merged to the repository.
@@ -52,3 +55,5 @@ to improve the library:
 [pull request]: https://github.com/NervanaSystems/ngraph/pulls
 [how to import]: http://ngraph.nervanasys.com/docs/latest/howto/import.html
 [ngraph-ecosystem]: doc/sphinx/source/graphics/ngraph-ecosystem.png "nGraph Ecosystem"
+[build-status]: https://travis-ci.org/NervanaSystems/ngraph/branches
+[build-status-badge]: https://travis-ci.org/NervanaSystems/ngraph.svg?branch=master