Reviews: PyTorch: An Imperative Style, High-Performance Deep Learning Library

I will increase my score to 9. *Summary* PyTorch is an open-source deeplearning library that strives to marry good performance, flexibility and usability. It is specifically designed for researchers with the goal to enable easy experimenting with new features. Through seamless integration in the Python ecosystem it enables the interoperability with other python libraries which makes prototyping easy for the user. One may argue whether a systems/software paper, presenting the implementation details of a library should be published at NeurIPS, or whether it would be a better fit for USENIX or SysML. However, given the impact of the library in the research community I strongly support the publication of this paper at NeurIPS. PyTorch is specifically designed for the research community, thus of high interest to most attendees.