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Challenges in Migrating Imperative Deep Learning Programs to Graph
  Execution: An Empirical Study

Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study

24 January 2022
Tatiana Castro Vélez
Raffi Khatchadourian
M. Bagherzadeh
A. Raja
ArXivPDFHTML

Papers citing "Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study"

2 / 2 papers shown
Title
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
Raffi Khatchadourian
Tatiana Castro Vélez
M. Bagherzadeh
Nan Jia
A. Raja
34
0
0
07 Apr 2025
An Empirical Study on Deployment Faults of Deep Learning Based Mobile
  Applications
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Zhenpeng Chen
Huihan Yao
Yiling Lou
Yanbin Cao
Yuanqiang Liu
Haoyu Wang
Xuanzhe Liu
48
79
0
13 Jan 2021
1