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Method and device for submitting deep learning training task

A technology of deep learning and training methods, applied in the field of deep learning, can solve the problems of algorithm developers spending a lot of time and tediousness, and achieve the effect of reducing time, energy and difficulty

Active Publication Date: 2019-10-29
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0002] The process of submitting deep learning training tasks, especially large-scale and long-term training tasks, is very cumbersome. For a single machine and a single card, the steps are relatively simple. However, the distributed training of a single machine with multiple cards and multiple machines with multiple cards will cost algorithm developers a lot of time To configure and monitor training tasks

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  • Method and device for submitting deep learning training task

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Embodiment Construction

[0045] In order to make the purpose, technical solution and advantages of the present invention more clear, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

[0046] The steps shown in the flowcharts of the figures may be performed in a computer system, such as a set of computer-executable instructions. Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0047] In order to solve the above technical problems, on the one hand, an embodiment of the present invention provides a method for submitting and debugging deep learning training tasks, such as figure 1 As shown, the method includes step S101-step S103....

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Abstract

The invention discloses a method for submitting a deep learning training task. The method comprises the following steps: displaying the type and quantity of currently available resources of a computergroup in a computing resource view of a training interface; and analyzing the submitted deep learning training task by adopting a task analysis module, and allocating resources of the computer groupto the analyzed deep learning training task according to the training specification selected by the algorithm developer. By adopting the task analysis module to analyze the deep learning training taskand allocate the resources of the computer group, the time and energy consumed by algorithm developers to configure and monitor the training task can be reduced, and the difficulty of configuring andmonitoring the training task is reduced. The invention further discloses a corresponding device for submitting the deep learning training task.

Description

technical field [0001] The present invention relates to deep learning technology, in particular to a method and device for submitting deep learning training tasks. Background technique [0002] The process of submitting deep learning training tasks, especially large-scale and long-term training tasks, is very cumbersome. For a single machine and a single card, the steps are relatively simple. However, the distributed training of a single machine with multiple cards and multiple machines with multiple cards will cost algorithm developers a lot of time to configure and monitor training tasks. Contents of the invention [0003] In order to solve the above technical problems, the present invention provides a method and device for submitting and debugging deep learning training tasks, which can reduce the time and difficulty for algorithm developers to configure training tasks. [0004] In order to achieve the purpose of the present invention, the present invention provides a ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50
CPCG06F9/5027G06F9/5061Y02D10/00
Inventor 王超
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD
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