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Data processing method and mobile terminal

A data processing and mobile terminal technology, applied in the field of communication, can solve the problems of high power consumption and matrix multiplication calculation, and achieve the effect of reducing power consumption and improving data processing speed

Inactive Publication Date: 2018-01-09
VIVO MOBILE COMM CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Embodiments of the present invention provide a data processing method and a mobile terminal to solve the problems of large calculation and power consumption of matrix multiplication in the prior art

Method used

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  • Data processing method and mobile terminal

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Embodiment Construction

[0030] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0031] According to an aspect of the embodiments of the present invention, a data processing method is provided.

[0032] Such as figure 1 As shown, the data processing methods include:

[0033] Step 101, convert the data to be processed into a floating-point matrix.

[0034] Wherein, the data to be processed is image data, voice data or fingerprint data, etc., especially image data, voice data or fingerprint data in deep learning.

[0035] ...

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Abstract

The invention provides a data processing method and a mobile terminal. The data processing method comprises the steps that to-be-processed data is converted into floating point matrixes; the two floating point matrixes to be subjected to matrix multiplying processing are converted into fixed point matrixes in a first preset bit number; matrix multiplying processing is performed on the two fixed point matrixes obtained through conversion, and a fixed point result matrix is obtained; and the fixed point result matrix is converted into a needed floating point result matrix. According to the method, the to-be-processed data is converted into the floating point matrixes first, then the floating point matrixes are converted into the fixed point matrixes, then fixed point matrix multiplying is performed, and finally the fixed point result matrix obtained through fixed point matrix multiplying is converted into the needed floating point result matrix. In this way, data processing speed can beincreased, and power consumption can be lowered.

Description

technical field [0001] The present invention relates to the field of communication technologies, in particular to a data processing method and a mobile terminal. Background technique [0002] In terms of pattern recognition, image classification, and image segmentation, deep learning has higher accuracy than traditional machine learning methods, so this technology has been widely studied in recent years. At the same time, with the continuous improvement of smartphone camera technology requirements, how to perfectly run deep learning technology on devices has become a research hotspot for major mobile terminal (such as mobile phone) manufacturers and original equipment manufacturers (Original Equipment Manufacturer, referred to as OEM). . [0003] In the process of deep learning reasoning, matrix multiplication accounts for a very large proportion in both calculation and storage space, but has the following defects: [0004] 1. Large amount of calculation [0005] Now the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16G06F9/30
Inventor 周展
Owner VIVO MOBILE COMM CO LTD