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Title:
NEURAL NETWORK MODEL COMPUTING CHIP, METHOD AND APPARATUS, DEVICE AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/028220
Kind Code:
A1
Abstract:
Embodiments of the present application relate to the technical field of artificial intelligence. Disclosed are a neural network model computing chip, method and apparatus, a device and a medium. The method comprises: acquiring a current instruction to be executed from a mixed instruction set about a target neural network model, the mixed instruction set comprising a number N of instructions to be executed, the mixed instruction set being pre-compiled on the basis of model data of the target neural network model, and the N instructions comprising original instructions and control information for updating a target original instruction of the target neural network model, wherein N is an integer greater than 1; determining a target instruction on the basis of the current instruction, wherein if the current instruction is control information, the target instruction is an update instruction corresponding to the target original instruction that is obtained after the target original instruction is updated on the basis of the control information; and analyzing the target instruction, and on the basis of the analysis result, scheduling a target engine to execute a target operation indicated by the target instruction, the target operation comprising a computing operation or a data movement operation, and the target engine being any one of a plurality of engines pre-configured in the neural network model computing chip.

Inventors:
MENG YU (CN)
Application Number:
PCT/CN2021/106148
Publication Date:
February 10, 2022
Filing Date:
July 14, 2021
Export Citation:
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Assignee:
TENCENT TECH SHENZHEN CO LTD (CN)
International Classes:
G06F9/30
Foreign References:
CN111651207A2020-09-11
CN111352896A2020-06-30
CN110347399A2019-10-18
CN110058882A2019-07-26
US20180349772A12018-12-06
Attorney, Agent or Firm:
DEQI INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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