RECONFIGURABLE MULTILAYER IMAGE PROCESSING ARTIFICIAL INTELLIGENCE NETWORK

This disclosure provides methods, devices, and systems for an artificial intelligence (AI) network. The present implementations more specifically relate to an AI network on an application specific integrated circuit (ASIC) operable as a reconfigurable multilayer image processor capable of implementing different AI models. In some aspects, each layer in the multilayer AI network includes a plurality of multiplier-accumulator (MAC) units, and at least one layer is partitioned into a plurality of blocks of MAC units that are reconfigurable to operate independently or to operate in one or more combinations of blocks of MAC units. The arrangement of the plurality of blocks of MAC units in the at least one layer enables implementation of one or more virtual layers, reconfiguration of the input depth size, reconfiguration of the output feature map size, or a combination thereof, which may be used to executes a desired AI model for image processing.