HyperLink   DLSpec: A Deep Learning Task Exchange Specification
   
Publication Year:
  2020
Authors
  Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei Hwu
   
Published:
  USENIX OpML 20
   
Abstract:

Deep Learning (DL) innovations are being introduced at a rapid pace. However, the current lack of standard specification of DL tasks makes sharing, running, reproducing, and comparing these innovations difficult. To address this problem, we propose DLSpec, a model-, dataset-, software-, and hardware-agnostic DL specification that captures the different aspects of DL tasks. DLSpec has been tested by specifying and running hundreds of DL tasks.