Method and apparatus for keeping statistical inference accuracy with 8-bit Winograd convolution
US12423561B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 30, 2018 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Jan 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus for keeping statistical inference accuracy with 8-bit winograd convolution. A calibration dataset and a pretrained CNN comprising 32-bit floating point weight values may be sampled to generate an input activation tensor and a weight tensor. A transformed input activation tensor may be generated by multiplying the input activation tensor and an input matrix to generate a transformed input activation tensor. A transformed weight tensor may be generated by multiplying the weight tensor and a weight matrix. A scale factor may be computed for each transformed tensor. An 8-bit CNN model including the scale factors may be generated.
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