2020
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
ICLR 2020poster
We present a deep reinforcement learning approach to minimizing the execution cost of neural network computation graphs in an optimizing compiler. Unlike earlier learning-based works that require training the optimizer on the same graph to be optimized, we propose a learning approach that trains an…