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:
Aug. 01, 2023

Filed:

May. 09, 2022
Applicant:

Zhejiang Lab, Zhejiang, CN;

Inventors:

Hongsheng Wang, Hangzhou, CN;

Hujun Bao, Hangzhou, CN;

Wei Hua, Hangzhou, CN;

Weiqiang Jia, Hangzhou, CN;

Assignee:

ZHEJIANG LAB, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06F 8/36 (2018.01); G06F 9/48 (2006.01); G06F 9/54 (2006.01);
U.S. Cl.
CPC ...
G06N 3/0454 (2013.01); G06F 8/36 (2013.01); G06F 9/4881 (2013.01); G06F 9/545 (2013.01);
Abstract

Disclosed is a method for distributed type training adaptation and apparatus in a deep learning framework and an AI accelerator card. The method includes the following steps: S1: the deep learning framework supports single-card configuration in a newly added AI accelerator card, and sub-steps thereof are as follows: S11: the deep learning framework supports new hardware; S12: the deep learning framework supports a device thread of the new hardware; S13: the deep learning framework supports a memory operation of the new hardware; and S14: the deep learning framework supports an operator kernel function of the new hardware; S2: the deep learning framework supports multi-card configuration in the newly added AI accelerator card; S3: the deep learning framework supports tensor segmentation and multi-card distribution; and S4: the deep learning framework supports multi-card collective communication in the newly added AI accelerator card.


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