English(EN) Stateful Testing for Deep Learning Compilers

新的Rondo测试方法在深度学习编译器中发现117个错误

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-16 04:00

研究人员开发了Rondo，一种新颖的有状态测试方法，旨在发现深度学习编译器中的错误。通过将测试用例表示为模型调用序列，Rondo能有效识别由保留的编译器状态引起的问题，这些问题即使在孤立调用中也可能导致不正确的输出。在四个框架和24个模型架构上的评估表明，Rondo能够检测到117个错误，包括35个有状态错误，并提交了39个错误报告给开发人员。该方法实现了高行为覆盖率和高告警精度，显著缩短了暴露错误的调用序列。 AI

影响提高了深度学习模型编译的可靠性和正确性，可能导致AI模型更快、更稳定地部署。

排序理由关于深度学习编译器新测试方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Jiatao Ge, Ruixiang Qian, Yibo Hu, Yanzhou Mu, Yinglong Zou, Jiawei Liu, Zhenyu Chen, Chunrong Fang · 2026-10-16 04:00

面向深度学习编译器的有状态测试

arXiv:2610.22003v1 Announce Type: cross Abstract: Modern deep learning compilers compile models lazily and cache artifacts across invocations. Retained compiler state can make a later invocation incorrect even when it is correct in isolation. An analysis of 26 publicly reported i…

本文如何被排名

报道来源 [1]

面向深度学习编译器的有状态测试

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