An Automated Verification Framework for HalideIR-Based Compiler Transformations
Yanzhao Wang, Fei Xie, Zhenkun Yang, Jeremy Casas, Pasquale Cocchini, Jin Seok Yang · 2023
HalideIR is a popular intermediate representation for compilers in domains such as deep learning, image processing, and hardware design. In this paper, we present an automated verification framework for HalideIR-based compiler transformations. The framework conducts verification using symbolic execution in two steps. Given a compiler transformation, our automated verification framework first uses symbolic execution to enumerate the compiler transformation's paths, and then utilizes symbolic execution to verify if the output program for each transformation path is equivalent to its source. We have successfully applied this framework to verify 46 transformations from the three most-starred HalideIR-based compilers on GitHub and detected 4 transformation bugs undetected by manually crafted unit tests.