Today, we would like to announce two things: the release of Chainer/CuPy v7 and the shift of development efforts for Chainer.
Summary: Due to the end-of-life (EOL) of Python 2 in January 2020, Chainer and CuPy v7.0.0b3 (release planned in August 2019) will drop Python 2 support. Chainer and CuPy v6.x (current stable release branch) continue to support Python 2. Chainer v6.x will be supported at least until after the EOL of Python 2.
Today, we announce ChainerX, a fast, portable, and extensible backend of Chainer. It is aimed at reducing the host-side performance overhead as well as making models much easier to ship for applications. ChainerX is included as an optional feature of Chainer v6.0.0 beta1, and is planned to be officially released as a part of Chainer v6 series next Spring. You can find the official documentation, including a quick tutorial.
We have released Chainer and CuPy v5.0.0 today! This is a major release that introduces several new features.
We have released Chainer and CuPy v4.0.0 today! This is a major release that introduces several new features, especially for accelerating deep learning computations and making the installation process easier. The following is a selected list of updates (full updates can be seen in the release notes: Chainer, CuPy). Note that some of these updates are also backported to v3 series.
We have released Chainer v2.0.0 today! This is the first major update of Chainer. The detailed updates from the beta release can be found in the release notes. You can also find the differences between v1 and v2 in the Upgrade Guide. Note that the repository has been moved to chainer/chainer. Any access to the old URL (including Git operations) will automatically be redirected to the new one.
We are planning the first major update of Chainer! It is currently scheduled for next March or April.
Starting from the release of v1.18.0, we will have one release every four weeks instead of the current cycle of one release every two weeks.
Chainer is a Python-based, standalone open source framework for deep learning models. Chainer provides a flexible, intuitive, and high performance means of implementing a full range of deep learning models, including state-of-the-art models such as recurrent neural networks and variational autoencoders.
- Chainer/CuPy v7 release and Future of Chainer
- Chainer/CuPy v7のリリースと今後の開発体制について
- Sunsetting Python 2 Support
- Released Chainer/CuPy v6.0.0
- ChainerX Beta Release
- Released Chainer/CuPy v5.0.0
- ChainerMN on AWS with CloudFormation
- Open source deep learning framework Chainer officially supported by Amazon Web Services