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Task processing method and device based on deep learning framework, equipment and medium

A deep learning and task processing technology, applied in the field of data processing, can solve problems such as low processing efficiency

Inactive Publication Date: 2020-08-04
BEIJING DIDI INFINITY TECH & DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the purpose of the embodiments of the present application is to provide a task processing method, device, device and medium based on a deep learning framework to solve the problem of low processing efficiency in the prior art

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  • Task processing method and device based on deep learning framework, equipment and medium
  • Task processing method and device based on deep learning framework, equipment and medium
  • Task processing method and device based on deep learning framework, equipment and medium

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Embodiment Construction

[0060] In order to make the purpose, 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. It should be understood that the appended The figures are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order, and steps that have no logical context may be performed in reverse order or concurrently. In addition, those skilled in the art may add one or more other operations t...

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Abstract

The invention provides a task processing method and device based on a deep learning framework, equipment and a medium, and relates to the technical field of data processing. The method comprises the steps: obtaining task configuration information inputted by a user, wherein the task configuration information comprises the indication of at least one to-be-processed task, and the to-be-processed task is a pre-configured task or a registered task in a deep learning framework; according to the task configuration information and a preset task logic relationship, generating the processing logic of at least one to-be-processed task, wherein the processing logic comprises a processing sequence and a logic relationship between each to-be-processed task and other to-be-processed tasks; and sequentially processing each to-be-processed task according to the processing logic. By generating the processing logic of at least one to-be-processed task and sequentially processing at least one to-be-processed task according to the processing logic, the processing of at least one to-be-processed task based on one deep learning framework is realized, the purpose of overall management is achieved, and the execution efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular, to a task processing method, device, device and medium based on a deep learning framework. Background technique [0002] In the initial stage of deep learning, every deep learning researcher needs to write a lot of repetitive code. In order to improve work efficiency, repetitive code can be written into a framework. This framework can be used to achieve this when starting a deep learning project. [0003] In related technologies, one frame can process one pending task, and when there are multiple pending tasks, multiple frames need to be selected to process the multiple pending tasks. [0004] However, in related technologies, when the deep learning framework needs to process multiple tasks to be processed, it lacks overall management and execution, and the execution efficiency is not high. Contents of the invention [0005] In view of this, the purpose of th...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06N20/00
CPCG06F9/4843G06N20/00
Inventor 窦奇伟路劲卓呈祥
Owner BEIJING DIDI INFINITY TECH & DEV
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