Model conversion method, apparatus and device, and computer storage medium

A technology of model conversion and conversion method, which is applied in the Internet field, can solve the problems of conversion failure, low conversion efficiency, and high conversion cost, and achieve the effect of improving conversion efficiency, good performance and reducing conversion cost

Pending Publication Date: 2020-06-16
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0003] Among them, the method of converting the model through cross-compilation will have the following problems: developers need to have professional cross-compilation experience, and need to face various error reports and code modifications, so the conversion cost is high; if the model to be converted is not the same as The consistency between the models to be converted is not high, and the conversion will fail, so the conversion efficiency is low
However, the method of retraining the model based on the training data will have the following problems: the developer needs to discard the cloud server model that has been repeatedly tuned and business verified, and retrain the model on the new framework, which takes a lot of time and requires re-training. The performance of the trained model is not good enough compared to the performance of the model in the cloud server

Method used

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  • Model conversion method, apparatus and device, and computer storage medium
  • Model conversion method, apparatus and device, and computer storage medium
  • Model conversion method, apparatus and device, and computer storage medium

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Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0026] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0027] It should be understood that the term "and / or" used herein is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and / or B, which may mean that A exists alone, and A and B exist simultaneously. B, there are three situations of B alone. In addition, the character " / " in this articl...

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Abstract

The invention provides a model conversion method, apparatus and device, and a computer storage medium. The method comprises the steps of obtaining a to-be-converted model; determining neural network layers contained in the to-be-converted model, and obtaining conversion results corresponding to the neural network layers; and combining the conversion results corresponding to the neural network layers to obtain a conversion result corresponding to the to-be-converted model. According to the method, the model conversion cost can be reduced, and the model conversion efficiency is improved.

Description

【Technical field】 [0001] The present invention relates to the technical field of the Internet, in particular to a model conversion method, device, equipment and computer storage medium. 【Background technique】 [0002] In existing technologies, most machine learning models or deep learning models are trained and deployed on cloud servers. If you want to convert the learning model deployed in the cloud server into other types of models, such as converting them into models that can be applied to mobile devices, there are generally two ways: to convert the model as a whole through cross-compilation or based on training data Retrain the model. [0003] Among them, the method of converting the model through cross-compilation will have the following problems: developers need to have professional cross-compilation experience, and need to face various error reports and code modifications, so the conversion cost is high; if the model to be converted is not the same as The consistenc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08
CPCG06N3/08
Inventor 谢永康吴拓邦陈晓宇阮世珉施恩傅家毅李曙鹏赵颖潘子豪喻友平吴甜
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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