We recommend these Linux distributions.
The following versions of Python can be used: 2.7.6+, 3.4.3+, 3.5.1+, and 3.6.0+.
We are testing Chainer automatically with Jenkins, where all the above recommended environments are tested. We cannot guarantee that Chainer works on other environments including Windows and macOS (especially with CUDA support), even if Chainer looks running correctly.
Before installing Chainer, we recommend to upgrade
setuptools if you are using an old one:
$ pip install -U setuptools
The following Python packages are required to install Chainer. The latest version of each package will automatically be installed if missing.
The following packages are optional dependencies. Chainer can be installed without them, in which case the corresponding features are not available.
Install Chainer via pip¶
We recommend to install Chainer via pip:
$ pip install chainer
Any optional dependencies (including CuPy) can be added after installing Chainer. Chainer automatically detects the available packages and enables/disables the optional features appropriately.
Install Chainer from source¶
The tarball of the source tree is available via
pip download chainer or from the release notes page.
You can use
setup.py to install Chainer from the tarball:
$ tar zxf chainer-x.x.x.tar.gz $ cd chainer-x.x.x $ python setup.py install
You can also install the development version of Chainer from a cloned Git repository:
$ git clone https://github.com/chainer/chainer.git $ cd chainer $ python setup.py install
When an error occurs...¶
-vvvv option with
That shows all logs of installation.
It may help you:
$ pip install chainer -vvvv
Enable CUDA/cuDNN support¶
In order to enable CUDA support, you have to install CuPy manually. If you also want to use cuDNN, you have to install CuPy with cuDNN support. See CuPy’s installation guide to install CuPy. Once CuPy is correctly set up, Chainer will automatically enable CUDA support.
You can refer to the following flags to confirm if CUDA/cuDNN support is actually available.
Trueif Chainer successfully imports
Trueif cuDNN support is available.
Support image dataset¶
Install Pillow manually to activate image dataset feature:
$ pip install pillow
Note that this feature is optional.
Support HDF5 serialization¶
Install h5py manually to activate HDF5 serialization:
$ pip install h5py
Before installing h5py, you need to install libhdf5. The way to install it depends on your environment:
# Ubuntu 14.04/16.04 $ apt-get install libhdf5-dev # CentOS 7 $ yum -y install epel-release $ yum install hdf5-devel
Note that this feature is optional.
Use pip to uninstall Chainer:
$ pip uninstall chainer
When you upgrade Chainer,
pip sometimes install the new version without removing the old one in
In this case,
pip uninstall only removes the latest one.
To ensure that Chainer is completely removed, run the above command repeatedly until
pip returns an error.
$ pip install -U chainer
If you want to reinstall Chainer, please uninstall Chainer and then install it.
We recommend to use
--no-cache-dir option as
pip sometimes uses cache:
$ pip uninstall chainer $ pip install chainer --no-cache-dir
Run Chainer with Docker¶
We are providing the official Docker image. Use nvidia-docker command to run Chainer image with GPU. You can login to the environment with bash, and run the Python interpreter:
$ nvidia-docker run -it chainer/chainer /bin/bash
Or run the interpreter directly:
$ nvidia-docker run -it chainer/chainer /usr/bin/python
The installer says “hdf5.h is not found”¶
You don’t have libhdf5. Please install it first. See Support HDF5 serialization.