Row fixed data stream mapping method based on graph segmentation

The invention discloses a row fixed data stream mapping method based on graph segmentation, and mainly solves the problems of limited application scene and low utilization rate of a processing array in the existing row fixed data stream mapping method. The method comprises the following implementation steps: 1, acquiring relevant parameters of a convolutional neural network convolutional layer anda processing array; 2, generating a mapping graph according to the parameters of the convolutional layer, and determining relevant parameters of the mapping graph; 3, performing mapping graph segmentation according to the mapping graph parameters and the processing array related parameters; and 4, generating corresponding data flow mapping according to a graph segmentation result. According to the invention, the mapping graph based on the row fixed data flow is segmented and mapped according to the processing array scale; while the high data reusability characteristic of the line fixed data flow is kept, the convolut