PyTorch 1.0 - The Platform for Accelerating AI Research to Production | Facebook AI Research

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As data engineers, we often begin with a focus on building a scalable platform for whatever challenge we have at hand. AI researchers have historically thought about problems differently, deferring concerns about reliable, scalable performance in production for later. With deep learning models becoming an integrated part of many widely used products, AI research needs a path to make into products with real production demands. At the same time, research needs to continue to explore new modeling approaches, so those production demands can't remove the necessary flexibility in the model authorship workflow.

PyTorch 1.0 is a platform that uniquely enables AI research to be productionized in a way that serves the needs of both AI researchers and engineers building production systems. The 1.0 release is the union of the production capabilities of Caffe2 with the research flexibility of PyTorch along with the broad model support of ONNX. With one platform, you can take the latest techniques coming out of research and rapidly incorporate them into your production systems.

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Hi, Trained model loading is so slow. So, Case of One image inference,
CPU is faster than CUDA. How can I fast inference with CNN?