REGAL

This dataset contains dataflow computational graphs generated procedurally, intended for training and evaluating algorithms that optimize execution (e.g. placement and scheduling), in TensorFlow's CostGraphDef protocol buffer format and encoded as text.

Original paper REGAL: Transfer Learning For Fast Optimization of Computation Graphs (Paliwal, Gimeno, Nair, Li, Lubin, Kohli, Vinyals)

OpenSource

05 Aug 2019