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Data overflow detection method and device, equipment and storage medium

A data overflow and overflow layer technology, applied in the computer field, can solve the problem of low detection accuracy, and achieve the effect of improving accuracy and accurate numerical range.

Active Publication Date: 2021-11-19
HANGZHOU HIKVISION DIGITAL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present application provides a data overflow detection method, device, equipment, and storage medium to solve the problem of low detection accuracy of data overflow detection for deep learning networks

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  • Data overflow detection method and device, equipment and storage medium
  • Data overflow detection method and device, equipment and storage medium

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Embodiment Construction

[0031] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0032] At present, the application of deep learning network is more and more extensive, for example, it can be applied to the recognition of images, audio, text, etc. In order to speed up the end-to-end forward inference time of the deep learning network, the trained floating-point deep learning network can be fixed-point, so as to obtain faster operation spe...

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Abstract

The invention provides a data overflow detection method and device, equipment and a storage medium. The method comprises the following steps: collecting fixed-point calculation resource information of a hardware platform for deploying a deep learning network; according to a preset initial numerical range and the range clamping function of each network layer, determining a first numerical range of each network layer layer by layer according to a forward operation sequence of the deep learning network; and performing data overflow detection on the deep learning network according to the first numerical range of each network layer, the network parameters and the fixed-point operation resource information to obtain an overflow detection result. According to the invention, the determined numerical range of the input feature map of each network layer is more accurate, and the accuracy of network overflow detection is effectively improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a data overflow detection method, device, equipment and storage medium. Background technique [0002] In order to speed up the end-to-end forward inference time of the deep learning network, the trained floating-point deep learning network is generally fixed-point. The fixed-point deep learning network can run on the hardware platforms of cameras, mobile phones, vehicle terminals and other terminals. When the hardware platform realizes the convolution operation of these network layers by multiplying and accumulating, sometimes the data result of multiplying and accumulating will exceed the register bit width of the hardware platform, and data overflow will occur, resulting in abnormal final output results of the network. In order to prevent data overflow, data overflow detection can be performed on the network before the fixed-point deep learning network runs on ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02
CPCG06N3/02
Inventor 郑刘坡
Owner HANGZHOU HIKVISION DIGITAL TECH