Method and electronic device for convolution calculation in neutral network

An electronic device, comprising:

• a processor;
• and
• a memory having computer program instructions stored therein, when executed by the processor, making the processor to perform a method of convolution calculation method in a neural network comprising:
• reading an input feature map, depthwise convolution kernels and pointwise convolution kernels from a dynamitic random access memory (DRAM);
• performing depthwise convolution calculations and pointwise convolution calculations according to the input feature map, the depthwise convolution kernels and the pointwise convolution kernels to obtain output feature values of a first predetermined number p of points on all pointwise convolution output channels;
• storing the output feature values of a first predetermined number p of points on all pointwise convolution output channels into an on-chip memory, wherein the first predetermined number p is determined according to at least one of available space in the on-chip memory, a number of the depthwise convolution calculation units, and width, height and channel dimensions of the input feature map;
• and
• repeating the above operation to obtain output feature values of all points on all pointwise convolution output channels.