Speculative Automated Refactoring of Imperative Deep Learning Programs to Graph Execution

Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh +2

Efficiency is essential to support ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code -- s…