Patent · US Active

Method, device and computer program product for deploying a machine learning model

US11429902B2 · kind B2 · utility

1Cited by

0References

20Claims

0Family size

Assignee

EMC IP Holding Company LLC · US

Inventors

Jinpeng Liu · Shanghai, CN
Pengfei Wu · Shanghai, CN
Junping Zhao · Beijing, CN
Kun Wang · Beijing, CN

Key dates

Filing date	May 20, 2019
Grant date	Aug 30, 2022
Priority date	—
Expiry date	Jan 3, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06F8/41
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Embodiments of the present disclosure relate to a method, device and computer program product for deploying a machine learning model. The method comprises: receiving an intermediate representation indicating processing of a machine learning model, learning parameters of the machine learning model, and a computing resource requirement for executing the machine learning model, the intermediate representation, the learning parameters, and the computing resource requirement being determined based on an original code of the machine learning model, the intermediate representation being irrelevant to a programming language of the original code; determining, at least based on the computing resource requirement, a computing node and a parameter storage node for executing the machine learning model; storing the learning parameters in the parameter storage node; and sending the intermediate representation to the computing node for executing the machine learning model with the stored learning parameters.

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