Patent ID: 11934943
Assignee: ZHEJIANG LAB
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The two-dimensional photonic neural network convolutional acceleration chip based on series connection structure according to claim 1, wherein, the signal to be convolved is a one-dimensional time series obtained after the two-dimensional data to be convolved being flattened, and the two-dimensional data to be convolved is the original two-dimensional data obtained by matrix transformation, the specific transformation process is:
the original two-dimensional data AQ×O is divided into H sub-two-dimensional data BQ×P by sliding in step P−N+1 in the column direction, each sub-two-dimensional data is a two-dimensional data to be convolved, where Q is the number of rows of the original two-dimensional data, O is the number of columns of the original two-dimensional data, P is the number of columns of the two-dimensional data matrix to be convolved, and N is the number of columns of the two-dimensional convolutional kernel matrix.