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.
Patent No.:
Date of Patent:
Oct. 24, 2023
Filed:
Jun. 26, 2019
Applicant:
Amazon Technologies, Inc., Seattle, WA (US);
Inventors:
Assignee:
Amazon Technologies, Inc, Seattle, WA (US);
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06T 7/10 (2017.01); G06T 1/20 (2006.01); G06F 9/455 (2018.01); G06N 3/082 (2023.01); G06F 8/41 (2018.01); G06F 18/24 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 8/443 (2013.01); G06F 8/447 (2013.01); G06F 8/451 (2013.01); G06F 9/45558 (2013.01); G06F 18/24 (2023.01); G06N 3/082 (2013.01); G06T 1/20 (2013.01); G06T 7/10 (2017.01); G06F 2009/4557 (2013.01);
Abstract
Techniques for optimizing and deploying convolutional neural network (CNN) machine learning models for inference using integrated graphics processing units are described. A model compilation system optimizes CNN models using optimized vision-specific operators as well as both graph-level tuning and tensor-level tuning to explore the optimization space for achieving heightened performance. The model compilation system may also implement a heuristic-based two-stage technique for falling back certain operators of CNN models to use CPUs when needed or otherwise beneficial.