PyTorch developer ecosystem expands, 1.0 stable release now available
Dec 7, 2018Yangqing Jia, Zach DeVito, Dmytro Dzhulgakov, Soumith Chintala, Joseph Spisak
Summary
This post announces the stable 1.0 release of PyTorch, highlighting its new features such as a hybrid front end for eager and graph execution, revamped distributed training, a pure C++ front end, and deep integration with cloud platforms. It emphasizes how PyTorch 1.0 accelerates the AI research-to-production workflow and discusses the growing PyTorch community, educational programs (Udacity, fast.ai), and new projects extending PyTorch (Horovod, PyTorch Geometry, TensorBoardX, Translate). It also details cloud partner integrations (AWS SageMaker Neo, Google Cloud Deep Learning VM, Azure Machine Learning).
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