Data processing method and apparatus for convolutional neural network

A data processing system, comprising:

• a central processing unit (CPU) configured to process data associated with a convolutional neural network (CNN);
• and
• a co-processor configured to performing operations of the CNN, including:
• (a). obtaining a matrix parameter of an eigenmatrix;
• (b). reading corresponding data in an image data matrix from a first buffer space based on the matrix parameter, to obtain a next to-be-expanded data matrix, and sending and storing the to-be-expanded data matrix to a second preset buffer space;
• (c). reading the to-be-expanded data matrix from the second preset buffer space, and performing data expansion on the to-be-expanded data matrix based on the matrix parameter, to obtain expanded data;
• (d). reading a preset number of pieces of unexpanded data in the image data matrix from the first buffer space, sending and storing the unexpanded data to the second preset buffer space, and updating, based on the unexpanded data, the to-be-expanded data matrix stored in the second preset buffer space;
• and
• (e). repeating (c) and (d) until all data in the image data matrix is completely read out on the to-be-expanded data matrix based on the matrix parameter.

A non-transitory computer-readable storage medium storing computer program instructions executable by at least one processor to perform:

• (a). obtaining a matrix parameter of an eigenmatrix;
• (b). reading corresponding data in an image data matrix from a first buffer space based on the matrix parameter, to obtain a next to-be-expanded data matrix, and sending and storing the to-be-expanded data matrix to a second preset buffer space;
• (c). reading the to-be-expanded data matrix from the second preset buffer space, and performing data expansion on the to-be-expanded data matrix based on the matrix parameter, to obtain expanded data;
• (d). reading a preset number of pieces of unexpanded data in the image data matrix from the first buffer space, sending and storing the unexpanded data to the second preset buffer space, and updating, based on the unexpanded data, the to-be-expanded data matrix stored in the second preset buffer space;
• and
• (e). repeating (c) and (d) until all data in the image data matrix is completely read out on the to-be-expanded data matrix based on the matrix parameter.