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 scikits.cuda>=0.5.0b2,!=0.042)
  • 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 CUDA_DIR to the installed path. You also have to set binary and library paths by appropriate environment variables like PATH and LD_LIBRARY_PATH. Then install CUDA-related packages by:

pip install chainer-cuda-deps

or, from the source:

python cuda_deps/setup.py install

MIT License (see LICENSE file).