Proj CDeepFuzz Paper Reading: CRADLE: Cross-Backend Validation to Detect and Localize Bugs in Deep Learning Libraries
Abstract
本文:CRADLE
Task: finding and localizing bugs in DL Libraries
Method:
- differential testing between DL Libraries
- 使用异常传播跟踪和分析来定位DL库中的错误函数anomaly propagation tracking and analysis to localize faulty functions
实验:
对象:TensorFlow, CNTK, Theano
测试集:11 datasets(including ImageNet, MINST, KGS Go game),30 pre-trained models
效果:
- 12 bugs, 104 unique inconsistencies
- 正确标出了与104个unique inconsistencies相关的函数