A kind of AI application performance evaluation method, device and related equipment
A technology of application performance and performance, applied in the field of network applications, can solve problems such as difficult to understand relationships, time-consuming block location analysis, no system formation, etc., to achieve manpower saving, high-performance evaluation efficiency and accuracy, and lower analysis threshold Effect
Active Publication Date: 2022-03-22
INSPUR BEIJING ELECTRONICS INFORMATION IND
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Problems solved by technology
However, due to the large number of packages in the deep learning framework, it is difficult to locate the underlying call duration and functions; due to the time-consuming analysis of block positioning, it is difficult to understand the relationship between the whole and the part
Therefore, based on the above two points, the current AI application performance analysis does not form a systematic method, and it relies more on the experience of R&D personnel for tuning, which is not only inefficient, but also very low accuracy
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[0041] The core of this application is to provide an AI application performance evaluation method, which can perform more effective performance evaluation on AI applications, and improve performance evaluation efficiency while ensuring high accuracy; another aspect of this application A core is to provide an AI application performance evaluation device, equipment, and computer-readable storage medium, which also have the above-mentioned beneficial effects.
[0042] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordin...
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This application discloses an AI application performance evaluation method, which includes starting the target AI application according to the received evaluation instruction; calling NVPROF to monitor the running process of the target AI application to obtain the first performance index data; calling TEYE to Monitoring the running process of the target AI application to obtain second performance index data; calculating the first performance index data and the second performance index data by using preset performance index calculation rules to obtain the performance of the target AI application Evaluation value; the AI application performance evaluation method can perform more effective performance evaluation on AI applications, and improves performance evaluation efficiency while ensuring high accuracy. The present application also discloses an AI application performance evaluation device, equipment, and computer-readable storage medium, all of which have the above-mentioned beneficial effects.
Description
technical field [0001] The present application relates to the technical field of network applications, in particular to an AI application performance evaluation method, and also relates to an AI application performance evaluation device, device, and computer-readable storage medium. Background technique [0002] AI (Artificial Intelligence, artificial intelligence) applications are generally divided into two categories: training and reasoning. AI training can generate deep learning models for feature extraction or target prediction. The higher the efficiency of model generation, the faster the production practice. ; AI reasoning can use the model generated by training to implement scenario-based tasks. The higher the efficiency of AI reasoning, the better the user experience and the more efficient the system performance. Therefore, the tracking, monitoring, and analysis of AI application performance are very important, and it can guide how to improve training efficiency and ...
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IPC IPC(8): G06F11/34
CPCG06F11/3409G06F11/3423G06F2201/865
Inventor 王鹏飞
Owner INSPUR BEIJING ELECTRONICS INFORMATION IND