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:
Apr. 11, 2023
Filed:
Jul. 29, 2019
Applicant:
Perceive Corporation, San Jose, CA (US);
Inventors:
Brian Thomas, Vancouver, CA;
Steven L. Teig, Menlo Park, CA (US);
Assignee:
PERCEIVE CORPORATION, San Jose, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 10/00 (2022.01); G06F 16/17 (2019.01); G06N 3/063 (2023.01); G06F 8/41 (2018.01); G06F 17/16 (2006.01); G06F 9/30 (2018.01); G06F 9/38 (2018.01); G06F 15/76 (2006.01); G06F 17/10 (2006.01); G06N 3/02 (2006.01); G06N 5/00 (2023.01); G06N 7/04 (2006.01); G06N 20/00 (2019.01); G06F 9/50 (2006.01); G06N 7/08 (2006.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06F 8/41 (2013.01); G06F 9/3001 (2013.01); G06F 9/3836 (2013.01); G06F 15/76 (2013.01); G06F 17/10 (2013.01); G06F 17/16 (2013.01); G06N 3/02 (2013.01); G06N 5/00 (2013.01); G06N 7/046 (2013.01); G06N 20/00 (2019.01); G06F 9/5061 (2013.01); G06F 2207/4824 (2013.01); G06N 7/08 (2013.01);
Abstract
Some embodiments provide a compiler for optimizing the implementation of a machine-trained network (e.g., a neural network) on an integrated circuit (IC). In some embodiments, the compiler determines whether sparsity requirements of channels implemented on individual cores are met on each core. If the sparsity requirement is not met, the compiler, in some embodiments, determines whether the channels of the filter can be rearranged to meet the sparsity requirements on each core and, based on the determination, either rearranges the filter channels or implements a solution to non-sparsity.