Minimum requirements:

• Python 2.7+, 3.4+
• NumPy
• Six 1.9+

Requirements for some features:

• CUDA support
  • CUDA 6.5+
  • PyCUDA
  • scikits.cuda (pip install scikit-cuda>=0.5.0)
  • Mako (depending through PyCUDA)
• CuDNN support
  • CuDNN v2
• Caffe model support
  • Python 2.7+ (Py3 is not supported)
  • Protocol Buffers (pip install protobuf)
• Testing utilities
  • Nose

Install Chainer via PyPI:

pip install chainer

You can also install Chainer from the source code:

python setup.py install

If you want to enable CUDA, first you have to install CUDA and set the environment variable PATH and LD_LIBRARY_PATH for CUDA executables and libraries. For example, if you are using Ubuntu and CUDA is installed by the official distribution, then CUDA is installed at /usr/local/cuda. In this case, you have to add the following line to .bashrc or .zshrc (choose which you are using):

export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

Do not forget to restart your terminal session (or source it) to enable this change. Then, install CUDA-related dependent packages via pip:

pip install chainer-cuda-deps

or, from the source:

python cuda_deps/setup.py install

• Official site: http://chainer.org/
• Official document: http://docs.chainer.org/
• github: https://github.com/pfnet/chainer
• Forum: https://groups.google.com/forum/#!forum/chainer

MIT License (see LICENSE file).