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:
Jan. 21, 2025

Filed:

May. 22, 2023
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Yanqi Zhou, Sunnyvale, CA (US);

Sudip Roy, Sunnyvale, CA (US);

Amirali Abdolrashidi, Riverside, CA (US);

Daniel Lin-Kit Wong, Pittsburgh, PA (US);

Chao Ma, Mountain View, CA (US);

Qiumin Xu, Santa Clara, CA (US);

Azalia Mirhoseini, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06F 18/20 (2023.01); G06F 18/21 (2023.01); G06F 18/2115 (2023.01); G06N 3/045 (2023.01); G06N 3/049 (2023.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/2115 (2023.01); G06F 18/217 (2023.01); G06F 18/29 (2023.01); G06N 3/045 (2023.01); G06N 3/049 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing the execution of the operations of a neural network. One of the methods includes obtaining data representing a graph characterizing a plurality of operations of a neural network, wherein each node of the graph characterizes an operation of the neural network and each edge of the graph characterizes data dependency between the operations; processing the data representing the graph using a graph embedding neural network to generate an embedding of the graph; and processing the embedding of the graph using a policy neural network to generate a task output, wherein the task output comprises, for each of the plurality of operations of the neural network, a respective decision for a particular optimization task.


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