The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 19, 2023

Filed:

Jan. 15, 2019
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Kun Liu, Beijing, CN;

Kai Zhou, Beijing, CN;

Qian Wang, Beijing, CN;

Yuanhao Xiao, Beijing, CN;

Lan Liu, Beijing, CN;

Dongze Xu, Beijing, CN;

Tianhan Xu, Beijing, CN;

Jiangliang Guo, Beijing, CN;

Jin Tang, Beijing, CN;

Faen Zhang, Beijing, CN;

Shiming Yin, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 9/50 (2006.01); G06F 18/2413 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G06F 9/5027 (2013.01); G06F 9/5011 (2013.01); G06F 18/24143 (2023.01); G06N 3/08 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 18/21 (2023.01);
Abstract

The present disclosure discloses a method and apparatus for scheduling a resource for a deep learning framework. The method can comprise: querying statuses of all deep learning job objects from a Kubernetes platform at a predetermined interval; and submitting, in response to finding from the queried deep learning job objects a deep learning job object having a status conforming to a resource request submission status, a resource request to the Kubernetes platform to schedule a physical machine where the Kubernetes platform is located to initiate a deep learning training task. The method can completely automate the allocation and release on the resource of the deep learning training task.


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