Model file execution method and device, terminal equipment and storage medium

A model file and execution device technology, applied in the field of big data, can solve the problem of low model training efficiency, reduce the process of frequent loading to and unloading from memory, improve execution efficiency, and improve training efficiency.

Pending Publication Date: 2021-02-05
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a model file execution method, device, terminal equipment and computer-readable storage medium to solve the problem of low model training efficiency in the model training process in the prior art

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  • Model file execution method and device, terminal equipment and storage medium
  • Model file execution method and device, terminal equipment and storage medium
  • Model file execution method and device, terminal equipment and storage medium

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Embodiment Construction

[0022] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail 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.

[0023] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.

[0024] In the description of the present specification and the appended claims, the terms "first", "second", "third" and so on are only used to distinguish descriptions, and should not be understood as indicati...

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Abstract

The invention is suitable for the technical field of big data, and provides a model file execution method and device, terminal equipment and a storage medium, and the method comprises the steps: receiving a first execution request, wherein the first execution request comprises the identification information of a model file; determining execution equipment corresponding to the identification information according to a preset model equipment mapping table, wherein the model equipment mapping table comprises a mapping relationship between the identification information of the model file and the execution equipment, and the execution equipment stores the model file corresponding to the identification information; if the execution device corresponding to the identification information is a second execution device, the first execution request is forwarded to the second execution device, and the second execution device is used for executing the model file corresponding to the identification information according to the first execution request. Therefore, the processes of frequently loading the model file into the memory and unloading the model file from the memory are reduced, the execution efficiency of the model file is improved, and the training efficiency of multi-model training is further improved.

Description

technical field [0001] The present application relates to the field of big data technology, and in particular to an execution method, device, terminal equipment and computer-readable storage medium of a model file. Background technique [0002] With the rapid development of artificial intelligence, more and more machine learning models are widely used in various application scenarios. Before the machine learning model is applied to the application scenario, the terminal device loads the model file of the machine learning model in the hard disk into the memory of the terminal device, executes the model file loaded into the memory, and trains a large number of training samples to optimize the performance of the machine learning model. Model parameters. [0003] In related technologies, each time a machine learning model is trained, the corresponding model file needs to be loaded into the memory of the terminal device. However, there are usually multiple model files in an appl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/445G06N20/00
CPCG06F9/44505G06F9/44594G06N20/00
Inventor 张山
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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