EvalDNN is an open-source toolbox for model evaluation of deep learning systems, supporting multiple frameworks and metrics.
Author: Yongqiang Tian*, Zhihua Zeng*, Ming Wen, Yepang Liu, Tzu-yang Kuo, and Shing-Chi, Cheung.
*The first two author contribute equally.
This project is mainly supported by Microsoft Asia Cloud Research Software Fellow Award 2019.
EvalDNN supports the model based on following frameworks:
EvalDNN supports the model based on following metrics:
Please check the documents in EvalDNN GitHub here
All benchmark results are available here.