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Model running method, device, terminal and storage medium

An operation method and model technology, applied in the field of machine learning, can solve the problem that the machine learning model cannot be operated normally by the processor, and achieve the effect of ensuring normal operation

Active Publication Date: 2022-02-25
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, different processors support different operators. When the processor does not support some operators included in the machine learning model, the machine learning model cannot run normally on the processor.

Method used

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  • Model running method, device, terminal and storage medium
  • Model running method, device, terminal and storage medium
  • Model running method, device, terminal and storage medium

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Embodiment Construction

[0027] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0028] The execution subject of the embodiment of the present application may be a terminal, for example, a terminal may be a mobile phone, a tablet computer, an e-book reading device, a multimedia player device, a wearable device or other portable electronic devices. Of course, in other possible implementation manners, the terminal may also be other electronic devices, for example, medical devices, smart home devices, and so on.

[0029] The machine learning model is a network model that can have functions such as computer vision, natural language processing, or social network analysis. When the user wants to unlock it through face recognition, the terminal uses the machine learning model to perform face recognition detection to ...

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Abstract

Embodiments of the present application provide a model running method, device, terminal and storage medium. The method includes: acquiring a machine learning model to be run, the machine learning model including at least one operator; determining n first operators in the machine learning model, where the first operator refers to an operator not supported by the first processor , n is a positive integer; based on the first operator, the machine learning model is adjusted to obtain an adjusted machine learning model, and the adjusted machine learning model includes operators supported by the first processor; Run the tuned machine learning model on . The embodiment of the present application ensures the normal operation of the machine learning model on the processor.

Description

technical field [0001] The embodiments of the present application relate to the technical field of machine learning, and in particular to a model running method, device, terminal and storage medium. Background technique [0002] The terminal can perform different services through the machine learning model, for example, face detection, voice recognition, image recognition, etc. [0003] In related technologies, the terminal uses fixed configuration information to configure the machine learning model, so that operators included in the configured machine learning model are fixed. [0004] However, different processors support different operators. When a processor does not support some operators included in the machine learning model, the machine learning model cannot run normally on the processor. Contents of the invention [0005] Embodiments of the present application provide a model running method, device, terminal, and storage medium. Described technical scheme is as f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/00G06F21/32G06V40/16
CPCG06N20/00G06F21/32G06V40/172
Inventor 蒋燚
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD