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Chainer Backend for Intel Architecture

A Chainer module providing numpy like API and DNN acceleration using MKL-DNN.


This preview version is tested on Ubuntu 16.04, Centos 7.4 and OS X.

Minimum requirements:

  • cmake 3.0.0+
  • C++ compiler with C++11 standard support (GCC 5.3+ if you want to build tests)
  • Python 2.7.6+, 3.5.2+, 3.6.0+
  • Numpy 1.13
  • Swig 3.0.12
  • Doxygen 1.8.5

Other requirements:

  • Testing utilities
    • Gtest
    • pytest


Install setuptools:

If you use old setuptools, upgrade it:

pip install -U setuptools

Install python package from the source code:

git submodule update --init && mkdir build && cd build && cmake ..
cd ../python
python install

Install python package via PYPI:

pip install ideep4py

Suggest installing Python package using virtualenv to avoid installing Python packages globally which could break system tools or other projects.

Install python package via Conda:

conda install -c intel ideep4py

Install python package via Docker:

We are providing the official Docker images based on different platforms on Docker Hub.

docker pull chainer/chainer:latest-intel-python2
docker run -it chainer/chainer:latest-intel-python2 /bin/bash

More information


MIT License (see LICENSE file).