Intel Deep Learning Extension Package is a module for collection of accelerated deep learning operations like convolution, deconvolution, relu etc. It uses Intel MKL-DNN as acceleration engine.
This preview version of iDeep is tested on Ubuntu 16.04 and OS X.
Minimum requirements:
- Cmake3
- GCC 5.3+
- C++ compiler with C++11 standard support
- MKL-DNN 0.1+
- 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
Head file mode to introduce iDeep Cpp APIs:
#include "ideep.hpp"
Pin singleton head file to one Cpp file of your project to instance iDeep singletons.
@@ main.cc
#include "ideep_pin_singletons.hpp"
If you use old setuptools, upgrade it:
pip install -U setuptools
Install iDeep python package(ideep4py) from the source code:
git submodule update --init && mkdir build && cmake ..
python setup.py install
- MKL-DNN github: https://github.com/01org/mkl-dnn
- iDeep github: https://github.com/intel/ideep.git
- Chainer github: https://github.com/chainer/chainer
MIT License (see LICENSE file).