Model management method and system

A model management and model technology, applied in the field of deep learning, can solve the problems of single service call, single support model, and cumbersome model deployment process, so as to shorten the response time, reduce the work cost, and simplify the model deployment.

Pending Publication Date: 2020-12-25
BEIJING XUEZHITU NETWORK TECH
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Problems solved by technology

[0003] Therefore, the existing model deployment platform is not ideal, such as: the process of deploying the model is cumbersome, the support model is single, the service call is single, the response time of the service call is not ideal, and there is no unified model management platform in the existing technology. Does not provide an ideal environment for viewing model state usage when multiple models

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[0053] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0054] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ...

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Abstract

The invention relates to a model management method and system, and the model management method comprises a model publishing step which is used for obtaining a trained model, judging the publishing type of the model, and carrying out the model publishing through a model management platform according to the publishing type; a model registration step for registering published information of the modelto a distributed coordination service, the published information including but not limited to a model name, a model version, a file name, a storage type and a published type; and a model synchronization step for synchronizing instance information of a model in the distributed coordination service, the instance information including but not limited to the model name, the model version, the model state and the model request quantity. Through the application, model deployment is realized and simplified, the state information of each model can be visually acquired through the model management platform, the working efficiency is greatly improved, and the cost is reduced.

Description

technical field [0001] This application relates to the field of deep learning, in particular to a model management method and system. Background technique [0002] With the development of artificial intelligence, more and more companies are now using different deep learning frameworks to train and obtain models, and use the models to provide functions such as accurate recommendations. With the increase and differences between model frameworks, model deployment has become a very troublesome issue, and model deployment and management have become particularly important. Some model deployment platforms in the prior art do not have a unified model management function, although some framework models can be deployed or provide functions such as service invocation. [0003] Therefore, the existing model deployment platform is not ideal, such as: the process of deploying the model is cumbersome, the support model is single, the service call is single, the response time of the servic...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/60G06F8/70
CPCG06F8/60G06F8/70
Inventor 金建兵
Owner BEIJING XUEZHITU NETWORK TECH
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