Dockerfiles to use for ngraph-packaging (#338)

* First attempt at a Dockerfile that works with ngraph-packaging without triggering the dreaded pip bug.  The new Dockerfile added here seems to work.

* Added a Dockerfile which allows ngraph-packaging to work with gcc 4.8 builds.  This Dockerfile successfully built the ngraph_config wheel.

test/ci/docker/dockerfiles/Dockerfile.ngraph_tf.packaging_ubuntu1604_gcc48_py35

@@ -0,0 +1,97 @@
+# ==============================================================================
+#  Copyright 2018 Intel Corporation
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+# ==============================================================================
+
+# Environment to build and unit-test ngraph-tensorflow-bridge
+
+FROM ubuntu:16.04
+
+# Default python environment is python 3, thus python3-pip and virtualenv
+# python3-dev is needed for TensorFlow build
+# git is needed to clone tensorflow repository
+# unzip and wget are needed for installing bazel
+# sudo is required for installing the TF wheel into /usr/local/...
+# zlib1g, zlib1g-dev and bash-completion are required by bazel install
+# zip and golang-go are needed to run TensorFlow tests
+# curl and locate are needed by Tensorflow's configure command
+# clang-format-3.9 is needed for code-style checks
+RUN apt-get update &&  apt-get install -y \
+    python3-pip virtualenv \
+    python3-dev \
+    git \
+    unzip wget \
+    sudo \
+    zlib1g zlib1g-dev bash-completion \
+    build-essential cmake \
+    libtinfo-dev \
+    zip golang-go \
+    locate curl \
+    clang-format-3.9
+
+# Install gcc 4.8 and configure it to be the preferred gcc XXXXX
+
+RUN which gcc && gcc --version || true
+RUN which c++ && c++ --version || true
+
+RUN apt-get install -y gcc-4.8 g++-4.8
+
+RUN which gcc && gcc --version || true
+RUN which c++ && c++ --version || true
+
+# Setup gcc-4.8 compiler per https://github.com/NervanaSystems/ngraph/blob/master/INSTALL
+# If you are using gcc-4.8, it may be necessary to add symlinksfrom `gcc` to
+# `gcc-4.8`, and from `g++` to `g++-4.8`, in your PATH, even if you have
+# specify CMAKE_C_COMPILER and CMAKE_CXX_COMPILER when building. (You should
+# NOT supply the `-DNGRAPH_USE_PREBUILT_LLVM` flag in this case, because the
+# prebuilt tarball supplied on llvm.org is not compatible with a gcc-4.8
+# based build.)
+RUN ln -f -s /usr/bin/gcc-4.8 /usr/bin/gcc || true
+RUN ln -f -s /usr/bin/g++-4.8 /usr/bin/g++ || true
+RUN which gcc && gcc --version || true
+RUN which c++ && c++ --version || true
+
+# The "locate" command uses a prepopulated index.  If this index is not built,
+# then "locate" will find absolutely nothing.  In Tensorflow's configure,
+# this manifests itself as a silent failure of the configure script to run to
+# completion.  Therefore, updatedb MUST BE RUN to provide an index for "locate".
+RUN updatedb
+
+# The pip-upgrade for pip, setuptools, and virtualenv is to avoid a nasty
+#   bug in setuptools: "_NamespacePath object has no attribute sort"
+# yapf and futures are needed for code-format checks (ngraph-tf PR#211)
+RUN pip3 install --upgrade pip setuptools virtualenv
+RUN pip3 install yapf==0.24.0
+RUN pip3 install futures
+
+# We include pytest so the Docker image can be used for daily validation
+RUN pip3 install --upgrade pytest
+
+# FROM NG-TF:
+# We need to be careful to run apt-get update in any RUN where apt-get install
+# might be run.  This is needed due to docker layer limitations.
+# RUN apt-get update && ./initial-setup-once-per-machine.ubuntu-16.04.sh
+#
+# REPLACED BY:
+RUN apt-get update && apt-get install -y openjdk-8-jdk
+#
+# This bazel version works with current TF
+RUN wget --no-verbose -c https://github.com/bazelbuild/bazel/releases/download/0.16.0/bazel_0.16.0-linux-x86_64.deb
+RUN dpkg -i bazel_0.16.0-linux-x86_64.deb || true
+
+# Copy in the run-as-user.sh script
+# This will allow the builds, which are done in a mounted directory, to
+# be run as the user who runs "docker run".  This then allows the mounted
+# directory to be properly deleted by the user later (e.g. by jenkins).
+WORKDIR /home

test/ci/docker/dockerfiles/Dockerfile.ngraph_tf.packaging_ubuntu1604_py35

@@ -0,0 +1,79 @@
+# ==============================================================================
+#  Copyright 2018 Intel Corporation
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+# ==============================================================================
+
+# Environment to build and unit-test ngraph-tensorflow-bridge
+
+FROM ubuntu:16.04
+
+# Default python environment is python 3, thus python3-pip and virtualenv
+# python3-dev is needed for TensorFlow build
+# git is needed to clone tensorflow repository
+# unzip and wget are needed for installing bazel
+# sudo is required for installing the TF wheel into /usr/local/...
+# zlib1g, zlib1g-dev and bash-completion are required by bazel install
+# zip and golang-go are needed to run TensorFlow tests
+# curl and locate are needed by Tensorflow's configure command
+# clang-format-3.9 is needed for code-style checks
+RUN apt-get update &&  apt-get install -y \
+    python3-pip virtualenv \
+    python3-dev \
+    git \
+    unzip wget \
+    sudo \
+    zlib1g zlib1g-dev bash-completion \
+    build-essential cmake \
+    libtinfo-dev \
+    zip golang-go \
+    locate curl \
+    clang-format-3.9
+
+# Report which gcc and g++ versions are present
+RUN which gcc && gcc --version || true
+RUN which c++ && c++ --version || true
+
+# The "locate" command uses a prepopulated index.  If this index is not built,
+# then "locate" will find absolutely nothing.  In Tensorflow's configure,
+# this manifests itself as a silent failure of the configure script to run to
+# completion.  Therefore, updatedb MUST BE RUN to provide an index for "locate".
+RUN updatedb
+
+# The pip-upgrade for pip, setuptools, and virtualenv is to avoid a nasty
+#   bug in setuptools: "_NamespacePath object has no attribute sort"
+# yapf and futures are needed for code-format checks (ngraph-tf PR#211)
+RUN pip3 install --upgrade pip setuptools virtualenv
+RUN pip3 install yapf==0.24.0
+RUN pip3 install futures
+
+# We include pytest so the Docker image can be used for daily validation
+RUN pip3 install --upgrade pytest
+
+# FROM NG-TF:
+# We need to be careful to run apt-get update in any RUN where apt-get install
+# might be run.  This is needed due to docker layer limitations.
+# RUN apt-get update && ./initial-setup-once-per-machine.ubuntu-16.04.sh
+#
+# REPLACED BY:
+RUN apt-get update && apt-get install -y openjdk-8-jdk
+#
+# This bazel version works with current TF
+RUN wget --no-verbose -c https://github.com/bazelbuild/bazel/releases/download/0.16.0/bazel_0.16.0-linux-x86_64.deb
+RUN dpkg -i bazel_0.16.0-linux-x86_64.deb || true
+
+# Copy in the run-as-user.sh script
+# This will allow the builds, which are done in a mounted directory, to
+# be run as the user who runs "docker run".  This then allows the mounted
+# directory to be properly deleted by the user later (e.g. by jenkins).
+WORKDIR /home