It supports both declarative programming and imperative programming with both development flexibility and high runtime performance preserved. The PaddlePaddle deep learning framework facilitates the development while lowering the technical burden, through leveraging a programmable scheme to architect the neural networks. If you want to install witch conda or docker or pip, please see commands to install on our website: Installation Document FOUR LEADING TECHNOLOGIESĪgile Framework for Industrial Development of Deep Neural Networks If PaddlePaddle is installed successfully! appears, to verify that the installation was successful.

If you want to install paddlepaddle-gpu with cuda version of 10.2/11.2/11.6/11.7, commands to install are on our website: Installation Document Verify installationĪfter the installation is complete, you can use python3 to enter the Python interpreter and then use import paddle and _check() We only release paddlepaddle-gpu cuda10.2 on pypi.

MacOS version 10.11/10.12/10.13/10.14 (64 bit) (not support GPU version yet)Ĭommands to install cpu: pip install paddlepaddle We provide users with four installation methods ,which are pip, conda, docker and install with source code. With such advantages, PaddlePaddle has helped an increasing number of partners commercialize AI.

It has been widely adopted by a wide range of sectors including manufacturing, agriculture, enterprise service, and so on while serving more than 2.3 million developers. PaddlePaddle is originated from industrial practices with dedication and commitments to industrialization. It is an industrial platform with advanced technologies and rich features that cover core deep learning frameworks, basic model libraries, end-to-end development kits, tools & components as well as service platforms. PaddlePaddle, as the only independent R&D deep learning platform in China, has been officially open-sourced to professional communities since 2016.

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