Abstract: A data processing apparatus and method are provided. The method includes: performing multi-level IR decomposition on original application code, extracting more abundant computation and data flow features to obtain an initial computational graph, and performing graph transformation processing on the initial computational graph to obtain a target computational graph, allowing an application corresponding to original application code to run in different systems and implement performance portability.

Abstract: A computational graph optimization method is executed by a computational graph optimization apparatus. The method includes: obtaining a first computational graph obtained through conversion based on to-be-optimized code; and performing a plurality of iterative transformations on the first computational graph based on a plurality of preset graph transformation manners, to obtain an optimized first computational graph, that is, obtain a target computational graph.