Patent ID: 11861498
Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. The non-transitory computer readable storage medium according to claim 14, wherein the determining the first bit width, the second bit width and the target thinning rate corresponding to the to-be-compressed neural network model comprises:
determining the processor for running the to-be-compressed neural network model;
acquiring attribute information of the to-be-compressed neural network model;
taking a vector width of the processor as the first bit width corresponding to the to-be-compressed neural network model;
determining the second bit width corresponding to the to-be-compressed neural network model according to a vector width of an instruction set in the processor; and
taking a thinning rate corresponding to the attribute information as the target thinning rate corresponding to the to-be-compressed neural network model.