Intel's Tensorflow optimizations are now available for Linux as a wheel installable through pip.
For more information on the optimizations as well as performance data, see this blog post.
To install the wheel into an existing Python installation, simply run
# Python 2.7 pip install https://anaconda.org/intel/tensorflow/1.2.1/download/tensorflow-1.2.1-cp27-cp27mu-linux_x86_64.whl # Python 3.5 pip install https://anaconda.org/intel/tensorflow/1.2.1/download/tensorflow-1.2.1-cp35-cp35m-linux_x86_64.whl # Python 3.6 pip install https://anaconda.org/intel/tensorflow/1.2.1/download/tensorflow-1.2.1-cp36-cp36m-linux_x86_64.whl
To create a conda environment with Intel Tensorflow that also takes advantage of the Intel Distribution for Python’s optimized numpy, run
conda create -n tf -c intel python=<2|3> pip numpy . activate tf # Python 3.5 pip install https://anaconda.org/intel/tensorflow/1.2.1/download/tensorflow-1.2.1-cp35-cp35m-linux_x86_64.whl # Python 2.7 pip install https://anaconda.org/intel/tensorflow/1.2.1/download/tensorflow-1.2.1-cp27-cp27mu-linux_x86_64.whl