Method and system for accelerating recurrent neural network based on cortex-m processor, and medium

Abstract

The application relates to a method and a system for accelerating a recurrent neural network based on a Cortex-M processor, and a medium. The method comprises: setting MCR instructions and a CDP instruction according to common basic operators of the recurrent neural network, the common basic operators comprising a matrix multiplication operator, a vector arithmetic operator, a sigmoid activation operator, a tanh activation operator and a quantization operator; configuring an internal register of a recurrent neural network coprocessor through the MCR instructions; and enabling the common basic operators of the recurrent neural network through the CDP instruction on the basis of the configured internal register.

Dependencies are inferred from the claim text.