2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation
Guoliang He, Sean Parker, Eiko Yoneki
Tensor graph superoptimisation systems perform a sequence of subgraph substitution to neural networks, to find the optimal computation graph structure. Such a graph transformation…
cs.LG2022
RLFlow: Optimising Neural Network Subgraph Transformation with World Models
Sean Parker, Sami Alabed, Eiko Yoneki
Training deep learning models takes an extremely long execution time and consumes large amounts of computing resources. At the same time, recent research proposed systems and compi…