Patent · US Active

Method for adapting deep learning framework to hardware device based on unified backend engine

US11941532B2 · kind B2 · utility

0Cited by

1References

9Claims

0Family size

Assignee

ZHEJIANG LAB · CN

Inventors

Hongsheng Wang · Elmhurst, US
Wei Hua · Hangzhou City, CN
Hujun Bao · Hangzhou City, CN
Fei Yang · Fremont, US

Key dates

Filing date	Apr 22, 2022
Grant date	Mar 26, 2024
Priority date	—
Expiry date	Sep 5, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06F8/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed is a method for adapting a deep learning framework to a hardware device based on a unified backend engine, which comprises the following steps: S1, adding the unified backend engine to the deep learning framework; S2, adding the unified backend engine to the hardware device; S3, converting a computational graph, wherein the computational graph compiled and generated by the deep learning framework is converted into an intermediate representation of the unified backend engine; S4, compiling the intermediate representation, wherein the unified backend engine compiles the intermediate representation on the hardware device to generate an executable object; S5, running the executable object, wherein the deep learning framework runs the executable object on the hardware device; S6: managing memory of the unified backend engine.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.