NEURAL NETWORK COMPUTATION ACCELERATION METHOD AND SYSTEM BASED ON NON-UNIFORM QUANTIZATION AND LOOK-UP TABLE

摘要

A neural network computation acceleration method and system based on non-uniform quantization and a look-up table. The method (300) comprises: performing non-uniform quantization on parameters of each layer of a neural network (S310); performing non-uniform quantization on inputs of each layer of the neural network (S320); constructing a look-up table for each layer by multiplying each of the quantization values of the parameters of said layer by each of the quantization values of the inputs of said layer (S330); and when forward computation of the neural network is to be performed, looking up a result of multiplication computation of the parameters and inputs of each layer in the look-up table of said layer, and performing computation layer by layer until all computation is done (S340). The method performs non-uniform quantization on all parameters and inputs of a neural network, and further adopts a look-up table to replace multiplication computation, thus accelerating computation of the neural network.