Model migration method and electronic equipment

A technology of electronic equipment and models, applied in the field of machine learning, can solve the problem of low model transfer efficiency, save the time of recoding and retraining, improve the transfer efficiency, and improve the speed.

Pending Publication Date: 2020-02-28
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
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Problems solved by technology

[0003] Embodiments of the present application provide a model migration method and electronic equ

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  • Model migration method and electronic equipment
  • Model migration method and electronic equipment

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Embodiment Construction

[0053] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0054] see figure 1 , figure 1 is a flow chart of the model migration method provided by the embodiment of this application, such as figure 1 As shown, this embodiment provides a model migration method applied to electronic equipment, including the following steps:

[0055]Step 101, analyze the first data file of the learning model on the first platform to obtain ...

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Abstract

The invention discloses a model migration method and electronic equipment, and relates to the technical field of machine learning. The specific implementation scheme is as follows: analyzing a first data file of a learning model on a first platform to obtain a network structure of the learning model; wherein the network structure comprises N nodes, and N is a positive integer; according to the topological sequence of the N nodes, mapping the N nodes to a second platform in sequence to obtain M nodes, M being a positive integer, and M being larger than or equal to N; and generating a second data file of the learning model on the second platform according to the M nodes. According to the technical scheme, the learning model of the first platform can be migrated to the second platform, codesdo not need to be rewritten, the learning model migrated to the second platform does not need to be retrained, the recoding and retraining time is saved, and the migration efficiency of the learning model is improved.

Description

technical field [0001] The present application relates to machine learning technology in the field of computer technology, in particular to a model migration method and electronic equipment. Background technique [0002] In the existing technology, different deep learning platforms use different programming languages ​​and programming methods. If the deep learning model is migrated from one platform to another, the model code needs to be rewritten. Therefore, users need to master multiple programming languages ​​and programming methods . In addition, for a model that has already been trained, when migrating to a new platform, it takes a lot of time and computing power to retrain the model on the basis of rewriting the code, wasting resources and time, and the model migration efficiency is low. Contents of the invention [0003] Embodiments of the present application provide a model migration method and an electronic device to solve the problem of low efficiency of model m...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06F8/76
CPCG06N20/00G06F8/76
Inventor 马明杰蒋佳军
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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