Added Ubuntu 16.04 Dockerfile with TF 1.4 optimized for CPU with Inte… (#14468)

* Added Ubuntu 16.04 Dockerfile with TF 1.4 optimized for CPU with Intel(R) MKL

* Edits per comments/code review. Now pulls FROM tensorflow/tensorflow. Removed superfluous build options. Now installs emacs in addition to vim.

* More edits per reviewer feedback. Removed dependency on Bazel 0.7.0.

tensorflow/tools/docker/Dockerfile.devel-cpu-mkl

@@ -0,0 +1,85 @@
+FROM tensorflow/tensorflow:latest-devel
+
+LABEL maintainer="Clayne Robison<clayne.b.robison@intel.com>"
+
+# These arguments are parameterized. Use --build-args to override.
+ARG TF_BRANCH=r1.4
+ARG WHL_DIR=/whl
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        golang \
+        vim \
+        emacs \
+        && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN pip --no-cache-dir install --upgrade \
+        pip setuptools
+
+RUN pip --no-cache-dir install wheel 
+
+# Download and build TensorFlow.
+WORKDIR /
+RUN rm -rf tensorflow && \
+    git clone https://github.com/tensorflow/tensorflow.git && \
+    cd tensorflow && \
+    git checkout ${TF_BRANCH}
+WORKDIR /tensorflow
+
+# Configure the build for CPU with MKL by accepting default build options and
+# setting library locations
+ENV CI_BUILD_PYTHON=python \
+   LD_LIBRARY_PATH=${LD_LIBRARY_PATH} \
+    PYTHON_BIN_PATH=/usr/bin/python \
+    PYTHON_LIB_PATH=/usr/local/lib/python2.7/dist-packages \
+    CC_OPT_FLAGS='-march=native' \
+    TF_NEED_JEMALLOC=0 \
+    TF_NEED_GCP=0 \
+    TF_NEED_CUDA=0 \
+    TF_NEED_HDFS=0 \
+    TF_NEED_S3=0 \
+    TF_NEED_OPENCL=0 \
+    TF_NEED_GDR=0 \
+    TF_ENABLE_XLA=0 \
+    TF_NEED_VERBS=0 \
+    TF_NEED_MPI=0
+RUN ./configure
+
+# Build and Install TensorFlow.
+# The 'mkl' option builds with Intel(R) Math Kernel Library (MKL), which detects
+# the platform it is currently running on and takes appropriately optimized 
+# paths. The -march=native option is for code that is not in MKL, and assumes
+# this container will be run on the same architecture on which it is built.
+RUN LD_LIBRARY_PATH=${LD_LIBRARY_PATH} \
+    bazel build --config=mkl \
+                --config="opt" \
+                --copt="-march=native" \
+                --copt="-O3" \
+                //tensorflow/tools/pip_package:build_pip_package && \
+    mkdir ${WHL_DIR} && \
+    bazel-bin/tensorflow/tools/pip_package/build_pip_package ${WHL_DIR}
+
+# Clean up Bazel cache when done, but leave the whl.
+# This will upgrade the default Tensorflow version with the Intel MKL version
+RUN pip --no-cache-dir install --upgrade ${WHL_DIR}/tensorflow-*.whl && \
+    rm -rf /root/.cache
+
+WORKDIR /root
+
+#add welcome message with instructions
+
+RUN echo '[ ! -z "$TERM" -a -r /etc/motd ] && cat /etc/issue && cat /etc/motd' \
+	>> /etc/bash.bashrc \
+	; echo "\
+||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\
+|								\n\
+| Docker container running Ubuntu				\n\
+| with TensorFlow ${TF_BRANCH} optimized for CPU		\n\
+| with Intel(R) MKL						\n\
+|								\n\
+||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\
+\n "\
+	> /etc/motd
+
+CMD ["/bin/bash"]