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:

Jul. 19, 2019
Applicant:

Cambricon Technologies Corporation Limited, Beijing, CN;

Inventors:

Yao Zhang, Beijing, CN;

Xiaofu Meng, Beijing, CN;

Shaoli Liu, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/48 (2006.01); G06F 9/4401 (2018.01); G06F 9/50 (2006.01); G06F 11/36 (2006.01);
U.S. Cl.
CPC ...
G06F 9/4887 (2013.01); G06F 9/4411 (2013.01); G06F 9/5072 (2013.01); G06F 11/3644 (2013.01); G06F 11/3664 (2013.01); G06F 11/3688 (2013.01); G06F 11/3692 (2013.01);
Abstract

The present disclosure discloses a data processing method and related products, in which the data processing method includes: generating, by a general-purpose processor, a binary instruction according to device information of an AI processor, and generating an AI learning task according to the binary instruction; transmitting, by the general-purpose processor, the AI learning task to the cloud AI processor for running; receiving, by the general-purpose processor, a running result corresponding to the AI learning task; and determining, by the general-purpose processor, an offline running file according to the running result, where the offline running file is generated according to the device information of the AI processor and the binary instruction when the running result satisfies a preset requirement. By implementing the present disclosure, the debugging between the AI algorithm model and the AI processor can be achieved in advance.


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