International Business Machines Corporation

Zhong Hao Wang

Fei Fei Li

Li Cao

WeiFeng Zhang

Zhan Peng Huo

Han Su

Ren Jie Feng

Wei Cui

In a method for improving converter and compiler operator granularity, a processor extracts an operator granularity from an artificial intelligence framework and an original model. A processor receives device characteristics from a target device. A processor outputs a converter granularity level to a converter based on the operator granularity and the device characteristics. A processor outputs a compiler granularity level to a compiler based on the operator granularity and the device characteristics.

Optimizing operator granularity in compiling and converting artificial intelligence (AI) models

Aspects of the invention include converting an artificial intelligence (AI) model generated in a first framework to a uniform exchange formatted model by engaging a master table to retrieve instructions for converting from the AI model to the uniform exchange formatted model in accordance with the first framework. The uniform exchange formatted model in compiled by engaging the master table to retrieve instructions for compiling the uniform exchange formatted model in accordance with the first framework. Data is received as an input to the compiled uniform exchange formatted model and an output is generated by engaging the master table to retrieve instructions for generating the output in accordance with the first framework.

Uniform artificial intelligence model conversion

Growing community of inventors

Dalian, China

Zhong Hao Wang