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:
Dec. 24, 2024

Filed:

Sep. 06, 2022
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Gaurav Kapoor, Los Altos, CA (US);

Cecile M. Foret, Palo Alto, CA (US);

Francesco Rossi, Sunnyvale, CA (US);

Kit-Man Wan, Sunnyvale, CA (US);

Umesh S. Vaishampayan, Santa Clara, CA (US);

Etienne Belanger, Saratoga, CA (US);

Albert Antony, Zug, CH;

Alexey Marinichev, Mountain View, CA (US);

Marco Zuliani, San Jose, CA (US);

Xiaojin Shi, Cupertino, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/10 (2006.01); G06F 8/41 (2018.01); G06F 9/50 (2006.01); G06N 3/04 (2023.01); G06N 3/063 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 3/10 (2013.01); G06F 8/41 (2013.01); G06F 8/443 (2013.01); G06F 8/4441 (2013.01); G06N 3/04 (2013.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01); G06F 9/50 (2013.01);
Abstract

The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.


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