Build and Install instructions for Intel Tensorflow 1.5

install_intel_tf1.5.sh

##
#Preferred GCC version > 5
##

#Install Bazel
# Bazel install intructions on CentOS
#Get the latest Bazel: https://github.com/bazelbuild/bazel/releases
wget https://github.com/bazelbuild/bazel/releases/download/0.9.0/bazel-0.9.0-installer-linux-x86_64.sh
chmod 755 bazel-0.9.0-installer-linux-x86_64.sh
sudo ./bazel-0.9.0-installer-linux-x86_64.sh

# UBUNTU Bazel installation
# sudo apt-get install openjdk-8-jdk 
# sudo add-apt-repository ppa:webupd8team/java 
# sudo apt-get update && sudo apt-get install oracle-java8-installer
# echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
# curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
# sudo apt-get update && sudo apt-get install bazel

#Git Clone tensorflow r1.5 branch 
git clone -b r1.5 https://github.com/tensorflow/tensorflow.git
cd tensorflow

./configure #Choose default options, select no for google cloud platform, S3, etc

bazel build --config mkl -c opt //tensorflow/tools/pip_package:build_pip_package 

mkdir ../tf_whls

bazel-bin/tensorflow/tools/pip_package/build_pip_package ../tf_whls/

pip install --upgrade --user ../tf_whls/<tensorflow-wheel-name>.whl

####
#RUN sample benchmark
####
cd ~
git clone -b mkl_experiment https://github.com/tensorflow/benchmarks.git 
cd benchmarks/scripts/tf_cnn_benchmarks/

##Example run on a 16-core machine 
export num_cpus=16

#Export KMP settings
export KMP_AFFINITY=granularity=fine,verbose,compact,1,0
export KMP_BLOCKTIME=1
export KMP_SETTINGS=1
export OMP_NUM_THREADS=$num_cpus
export OMP_PROC_BIND=true

python tf_cnn_benchmarks.py --device cpu  --data_format NCHW --cpu skl  --data_name synthetic \
--model googlenet --batch_size 64 --num_intra_threads $num_cpus --num_inter_threads 1 \
--num_omp_threads $num_cpus  --num_batches 100