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Learning task compiling method of artificial intelligence processor and related product

A technology of artificial intelligence and learning tasks, applied in the field of artificial intelligence, can solve the problems of low data processing efficiency and occupation of inter-chip communication resources, etc.

Inactive Publication Date: 2020-02-07
CAMBRICON TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This not only leads to a reduction in data processing efficiency, but also occupies inter-chip communication resources

Method used

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  • Learning task compiling method of artificial intelligence processor and related product
  • Learning task compiling method of artificial intelligence processor and related product
  • Learning task compiling method of artificial intelligence processor and related product

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Embodiment Construction

[0050] In order to make the purpose, technical solutions, and advantages of this application clearer, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the application, and not used to limit the application.

[0051] The terms "first", "second", and "third" in the specification and claims of this application and the drawings are used to distinguish different objects, rather than describing a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inherent to these processes, methods, products or equ...

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Abstract

The invention relates to a method, a device for compiling a learning task of an artificial intelligence processor, a storage medium and a system. The method comprises the following steps: firstly, fusing a redundant neural network layer into a convolutional layer to optimize a convolutional neural network structure, and then compiling a learning task of an artificial intelligence processor based on the optimized convolutional neural network. By adopting the method to compile the learning task of the artificial intelligence processor, the compiling efficiency is high, and data exchange in the processing process can be reduced when the learning task is executed on equipment.

Description

[0001] Related application: [0002] This application requires submission on December 29, 2018, the application number is 201811639927.4, and the title of the invention is the priority of "Optimization method, device, storage medium and system of convolutional neural network". Technical field [0003] This application relates to the field of artificial intelligence technology, in particular to an artificial intelligence processor learning task compilation method and related products. Background technique [0004] When the artificial intelligence processor runs the neural network, it is generally necessary to use a general-purpose processor (CPU) to compile the neural network containing the operators of the neural network to obtain an executable file. The executable file contains device information, and the file can be executed. Which device in the heterogeneous computer system is executed on. After the executable file is assembled and linked, the neural network executable program c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04
CPCG06N3/045
Inventor 不公告发明人
Owner CAMBRICON TECH CO LTD
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