Environment:
ubuntu 18.04 (or other linux), x86-64, python 2.7
enable SSE4.1 SSE4.2 AVX AVX2 FMA: whl link
enable MKL: whl link
install tensorflow that enable AVX SSE FMA:
wget https://github.com/Ding-Kyoma/tensorflow-1.4.2-AVX-MKL/releases/download/v1.0/tensorflow-1.4.2-cp27-cp27mu-linux_x86_64.whl
pip install tensorflow-1.4.2-cp27-cp27mu-linux_x86_64.whl
https://www.tensorflow.org/install/source#linux
sudo apt install python-dev python-pip for python 2.7
or sudo apt install python3-dev python3-pip for python 3.6
sudo apt install g++ unzip zip
wget https://github.com/bazelbuild/bazel/releases/download/0.5.4/bazel-0.5.4-installer-linux-x86_64.sh
chmod +x bazel-0.5.4-installer-linux-x86_64.sh
./bazel-0.5.4-installer-linux-x86_64.sh --user
vim ~/.bashrc
add export PATH="$PATH:$HOME/bin" in .bashrc
source ~/.bashrc
sudo vim /etc/apt/sources.list
add this 2 line to sources.list
deb http://dk.archive.ubuntu.com/ubuntu/ xenial main
deb http://dk.archive.ubuntu.com/ubuntu/ xenial universe
sudo apt update
sudo apt-get install gcc-4.8
sudo apt-get install g++-4.8
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 20
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.8 20
gcc --version
pip install -U --user pip numpy wheel
pip install -U --user keras_preprocessing --no-deps
git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow
git checkout r1.4 # r1.4 is tensorflow 1.4.2
./configure # all No
bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package # take time
bazel-bin/tensorflow/tools/pip_package/build_pip_package ~/tensorflow_pkg
pip install ~/tensorflow_pkg/tensorflow-1.8.0-cp27-cp27mu-linux_x86_64.whl # install tensorflow with AVX2/FMA
bazel build --config=opt --config=mkl //tensorflow/tools/pip_package:build_pip_package # take time
bazel-bin/tensorflow/tools/pip_package/build_pip_package ~/tensorflow_pkg_mkl
pip install ~/tensorflow_pkg_mkl/tensorflow-1.8.0-cp27-cp27mu-linux_x86_64.whl # install tensorflow with MKL