PyTorch developer ecosystem expands, 1.0 stable release now available

What this post added

This post announces the stable release of PyTorch 1.0, highlighting its new features such as a hybrid front end for seamless execution mode transitions, revamped distributed training, a pure C++ front end, and deep cloud integration. It emphasizes the acceleration of the AI workflow from research to production and the growth of the PyTorch community, evidenced by its rapid expansion on GitHub and the success of educational programs and community-contributed projects like Horovod, PyTorch Geometry, and TensorBoardX. It also details enhanced cloud platform support from AWS, Google Cloud Platform, and Microsoft Azure.