公开(公告)号：US20240119309A1

公开(公告)日：2024-04-11

申请号：US18470798

申请日：2023-09-20

Applicant: STMicroelectronics S.r.l. ,  STMicroelectronics (Rousset) SAS

Inventor： Laurent Folliot ,  Marco Lattuada ,  Pierre Demaj

IPC: G06N3/10 ,  G06F8/35 ,  G06F8/41

CPC classification number: G06N3/10 ,  G06F8/35 ,  G06F8/4434

Abstract: In an embodiments a method includes obtaining a neural network (INN), the neural network having a plurality of neural layers, each layer being capable of being executed according to different implementation solutions and impacting a required memory allocation for the execution of the neural network and/or an execution time of the neural network, defining a maximum execution time threshold of the neural network and/or a maximum required memory allocation threshold for the execution of the neural network, determining an optimal required memory allocation size for the execution of the neural network from possible implementation solutions for each layer of the neural network, determining an optimal execution time of the neural network from the possible implementation solutions for each layer of the neural network and estimating a performance loss or a performance gain in terms of execution time and required memory allocation for each implementation solution of each layer of the neural network.