Efficient convolution of multi-channel input samples with multiple kernels
US11488066B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 21, 2020 |
| Grant date | Nov 1, 2022 |
| Priority date | — |
| Expiry date | May 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Convolutions of an input sample with multiple kernels is decomposed into matrix multiplications of a V×C matrix of input values times a C×K matrix of kernel values, producing a V×K product. For the second matrix, C is a channel dimension (i.e., each row of the second matrix is a different channel of the input sample and kernel) and K is the kernel dimension (i.e., each column of the second matrix is a different kernel), but all the values correspond to the same pixel position in the kernel. In the matrix product, V is the output dimension and K is the kernel dimension. Thus, each value in the output matrix is a partial product for a certain output pixel and kernel, and the matrix multiplication parallelizes the convolutions by calculating partial products for multiple output pixels and multiple kernels.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.