Computing apparatus and method for executing convolution operation, and related products

(canceled)

A method for using a computing apparatus of to perform a convolution operation, wherein the computing apparatus comprises a plurality of slave processing circuits, wherein each slave processing circuit includes a first caching circuit, a second caching circuit, and a plurality of computing circuits, wherein the first caching circuit is used to cache a plurality of input feature lines on which a convolution operation is to be performed, wherein one of the input feature lines includes the data amount of Pci×Ws=M in an input feature map, where Pci is a slice granularity of a Ci dimension of an input channel, Ws is a folding multiplier of a W dimension of the width, and M is the amount of data processed by hardware at one time;

• the second caching circuit is used to cache weight data on which the convolution operation is to be performed;
• and
• each of the computing circuits is used to perform, at each computation, an element-wise multiplication and accumulation on an input feature line selected from the first caching circuit and an extended weight line selected or generated from the second caching circuit, respectively, wherein the extended weight line consists of a convolutional kernel sliced in a Ci dimension according to Pci, or consists of a convolutional kernel aligned to a column of data blocks of Pci that is replicated and extended into Ws columns.