Pretraining utilizing software dependencies
US11262985B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 10, 2020 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Jun 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an approach to creating code snippet auto-commenting models utilizing a pre-training model leveraging dependency data, one or more computer processors create a generalized pre-training model trained with one or more dependencies and one or more associated dependency embeddings, wherein dependencies include frameworks, imported libraries, header files, and application programming interfaces associated with a software project. The one or more computer processors create a subsequent model with a model architecture identical to the created pre-training model. The one or more computer processors computationally reduce a training of the created subsequent model utilizing one or more trained parameters, activations, memory cells, and context vectors contained in the created pre-training model. The one or more computer processors create deploy the subsequent model to one to more production environments.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.