Using High Performance Libraries with Python
Compiling Tensorflow with Intel MKL support for Mac¶
The simplest and fastest way to get Intel MKL support in tensorflow is by using Intel Distribution for Python with the conda package manager.
By using the intelpython3_full
(providing Python 3.6.3 at the moment), you get numpy
and scipy
MKL-accelerated libraries out of the box. Unfortunately, there is not an easy way to install Tensorflow compiled with MKL support on Mac OS X
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