Papers › Decide: Knowledge-Based Version Incompatibility Detection in Deep Learning Stacks
Decide: Knowledge-Based Version Incompatibility Detection in Deep Learning Stacks
Zihan Zhou, Zhongkai Zhao, Bonan Kou, Tianyi Zhang
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Version incompatibility issues are prevalent when reusing or reproducing deep learning (DL) models and applications. Compared with official API documentation, which is often incomplete or out-of-date, Stack Overflow (SO) discussions possess a wealth of version knowledge that has not been explored by previous approaches. To bridge this gap, we present Decide, a web-based visualization of a knowledge graph that contains 2,376 version knowledge extracted from SO discussions. As an interactive tool, Decide allows users to easily check whether two libraries are compatible and explore compatibility knowledge of certain DL stack components with or without the version specified. A video demonstrating the usage of Decide is available at https://youtu.be/wqPxF2ZaZo0.
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