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:
Feb. 21, 2023

Filed:

Mar. 07, 2019
Applicant:

Xilinx, Inc., San Jose, CA (US);

Inventors:

Albert T. Gural, Clifton, VA (US);

Sambhav R. Jain, Santa Clara, CA (US);

Christopher H. Dick, San Jose, CA (US);

Assignee:

XILINX, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06K 9/62 (2022.01); G06N 3/04 (2023.01); G06F 40/20 (2020.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 40/20 (2020.01); G06K 9/6267 (2013.01); G06N 3/0481 (2013.01);
Abstract

Systems and methods for training a neural network model includes providing a quantization function including a quantization log threshold parameter associated with a log value of a quantization threshold. A quantization training to a neural network model is performed to generate quantized neural network parameters. The quantization training includes: generating first values with a first precision for the neural network parameters; performing a first optimization process to generate an updated quantization log threshold parameter; and generating quantized values with a second precision lower than the first precision for the neural network parameters by applying the quantization function with the updated quantization log threshold parameter to the first values. The neural network model with the quantized values for the neural network parameters is provided for performing a task.


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