Intel Optimized Tensorflow Wheel Now Available

Published Date
13 - Oct - 2017
| Last Updated
13 - Oct - 2017
 
Intel Optimized Tensorflow Wheel Now Available

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/1.3.0/download/tensorflow-1.3.0-cp27-cp27mu-linux_x86_64.whl
# Python 3.5
pip install https://anaconda.org/intel/tensorflow/1.3.0/download/tensorflow-1.3.0-cp35-cp35m-linux_x86_64.whl
# Python 3.6
pip install https://anaconda.org/intel/tensorflow/1.3.0/download/tensorflow-1.3.0-cp36-cp36m-linux_x86_64.whl

Edit 10/12/17: Wheel paths have been updated to 1.3.0

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/1.3.0/download/tensorflow-1.3.0-cp35-cp35m-linux_x86_64.whl
# Python 2.7
pip install https://anaconda.org/intel/tensorflow/1.3.0/download/tensorflow-1.3.0-cp27-cp27mu-linux_x86_64.whl

Conda Package Now Available in Intel Python 2018

A conda package of Intel's optimized Tensorflow comes with the new 2018 Intel Python distribution on Linux.  You can also create a conda environment with Intel Optimized Tensorflow with the following commands:

conda create -n intel_tf -c intel --override-channels tensorflow
source activate intel_tf

For more such intel IoT resources and tools from Intel, please visit the Intel® Developer Zone

Source:https://software.intel.com/en-us/articles/intel-optimized-tensorflow-wheel-now-available