Invention Grant
- Patent Title: Computational graph optimization
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Application No.: US16840191Application Date: 2020-04-03
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Publication No.: US11657289B2Publication Date: 2023-05-23
- Inventor: Yanqi Zhou , Sudip Roy , Amirali Abdolrashidi , Daniel Lin-Kit Wong , Chao Ma , Qiumin Xu , Azalia Mirhoseini
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06K9/62 ; G06N3/049

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.
Public/Granted literature
- US20210248445A1 COMPUTATIONAL GRAPH OPTIMIZATION Public/Granted day:2021-08-12
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