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Cluster server fault testing method and related device in machine learning system

A cluster server and machine learning technology, applied in the field of cluster server fault testing, can solve problems such as single application scenarios

Active Publication Date: 2021-03-05
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the existing testing methods can only perform hardware failure testing on the hardware failure test script issued by a single server, and the application scenario is single

Method used

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  • Cluster server fault testing method and related device in machine learning system
  • Cluster server fault testing method and related device in machine learning system
  • Cluster server fault testing method and related device in machine learning system

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Embodiment Construction

[0033]Next, the technical solutions in the embodiments of the present invention will be apparent from the embodiment of the present invention, and it is clearly described, and it is understood that the described embodiments are merely embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, those of ordinary skill in the art will belong to the scope of the present invention without all other embodiments obtained without creative labor.

[0034]Detailed description will be taken below.

[0035]The description and claims of the invention and the terms "comprising" and "having" and "have any deformed, and intended to cover the contained in the case. For example, a series of steps or units comprising a series of steps or units are not limited to the listed steps or units, but alternatively include the steps or units not listed, or optionally also include For these processes, other steps or units inherent in the method, product, or eq...

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Abstract

This application discloses a cluster server fault testing method and related devices in a machine learning system. The method includes: receiving a fault test task sent by a fault generation server, wherein the fault test task carries a software fault test script; M servers in the servers issue test requests carrying the software failure test script, wherein M is a positive integer; receive M test responses sent by the M servers, wherein the M test responses carry the M pieces of software failure test data obtained by running the software failure test script by M servers, the M servers correspond to the M test responses one by one; the M pieces of software failure test data are verified to Get M software failure test results. Implementing the embodiments of the present invention is beneficial to enriching application scenarios.

Description

Technical field[0001]The present invention relates to the field of computer technology, in particular to cluster server fault testing methods and related devices in a machine learning system.Background technique[0002]After several decades of development, the machine has finally been widely used in storage capacity and computing power. Model training in machine learning requires a large amount of data to obtain a suitable model. Although GPU's computational power is several quantities than CPU, it is still not enough to face the calculation needs of machine learning. Therefore, it is often possible to meet the calculation needs of machine learning by deploying a Docker service on a clustered server to perform multiple card training. Among them, Docker is an open source container engine, also a lightweight virtualization technology, which is small, easy to encapsulate, so applications in machine learning are increasing.[0003]In general, the model training of a machine learning is shor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/36H04L12/26
Inventor 郑海刚吕旭涛王孝宇
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD