Technique For Generating Expected Inference Simulation Result Of Artificial Intelligence Model

A non-transitory computer-readable medium storing a computer program that, when executed by a computing device, causes the computing device to perform operations for generating an expected inference simulation result of an artificial intelligence model, the operations comprising:

• receiving an intermediate representation structure that represents a target artificial intelligence model which is an object of a simulation, with a node corresponding to an atomic operator independent of a framework and a module dependent on a target framework of the target artificial intelligence model, wherein the intermediate representation structure has a hierarchical structure in which one or more nodes constitute the module;
• receiving target platform information for identifying a target platform on which the target artificial intelligence model is to be executed and input data to be used in a simulation process of the target artificial intelligence model;
• and
• generating an expected inference simulation result for a case where the target artificial intelligence model with the input data as an input is to be executed on the target platform, without executing the target artificial intelligence model on the target platform, by using the intermediate representation structure, the target platform information, and the input data.

A computing device for generating an expected inference simulation result of an artificial intelligence model, the computing device comprising:

• at least one processor, wherein the processor is configured to perform operations comprising:
• receiving an intermediate representation structure that represents a target artificial intelligence model which is an object of a simulation, with a node corresponding to an atomic operator independent of a framework and a module dependent on a target framework of the target artificial intelligence model, wherein the intermediate representation structure has a hierarchical structure in which one or more nodes constitute the module;
• receiving target platform information for identifying a target platform on which the target artificial intelligence model is to be executed and input data to be used in a simulation process of the target artificial intelligence model;
• and
• generating an expected inference simulation result for a case where the target artificial intelligence model with the input data as an input is to be executed on the target platform, without executing the target artificial intelligence model on the target platform, by using the intermediate representation structure, the target platform information, and the input data.