Method, apparatus and system for gradient updating of image processing model
US11256940B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 10, 2021 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | Sep 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure is applied for artificial intelligence (AI) technology field and provided a method for gradient updating of an image processing model and a related apparatus thereof. The method includes: determining a convolution kernel and convoluted data corresponding to each convolution layer by invoking a direct memory access (DMA) controlling module, according to convolution parameters of each convolution layer in the image processing model, and storing the convolution kernel and the convoluted data into a first cache space and a second cache space, respectively, the convolution kernel including a convolution kernel for an original image feature gradient and a convolution kernel for an original weight gradient; and performing an inverted convolution calculation based on the convolution kernel in the first cache space and the convoluted data in the second cache space to update the original image feature gradient and the original weight gradient of each convolution layer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.