Saving intermediate outputs of a neural network
US11748622B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 4, 2019 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | Jul 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing system is configured to access intermediate outputs of a neural network by augmenting a data flow graph generated for the neural network. The data flow graph includes a plurality of nodes interconnected by connections, each node representing an operation to be executed by the neural network. To access the intermediate output, the data flow graph is augmented by inserting a node representing an operation that saves the output of a node which produces the intermediate output. The node representing the save operation is inserted while maintaining all existing nodes and connections in the data flow graph, thereby preserving the behavior of the data flow graph. The augmenting can be performed using a compiler that generates the data flow graph from program code.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.