Abstract: The present disclosure provides a stream processor, computing method, chip and electronic device, and relates to the technical field of electronic circuits. Stream processor includes: at least two types of computing units, and a main control unit, wherein each type of the computing units is configured to perform one computing operation of multiplication operation, addition operation, lookup table operation, and data transportation, and the main control unit is connected to each computing unit, and configured to assign an operation instruction to the computing unit, so as to make the computing unit perform a corresponding computing operation of the computing unit in response to the operation instruction.

Abstract: Provided are AI chip, electronic device and convolution operation method. AI chip includes: N convolution cores and storage control system. Storage control system is electrically connected to N convolution cores. Storage control system reads input image data from memory, distributes input image data to each convolution core, reads each weight block from memory, splits each weight block into N pieces of weight data, and distribute N pieces of weight data to N convolution cores, each convolution core corresponds to a piece of weight data, and each weight block is part of complete weight; each convolution core performs convolution operation on received weight data and input image data. Convolution operation results of each convolution core for the same weight block are added to obtain convolution operation result of each weight block, and convolution operation results of each weight block are added to obtain final convolution operation result.