Learning task compiling method of artificial intelligence processor and related product

A technology for artificial intelligence and learning tasks, applied in neural learning methods, neural architectures, biological neural network models, etc., to solve problems such as reduced data processing efficiency and occupation of inter-chip communication resources.

Active 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

[0049]In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0050] The terms "first", "second" and "third" in the description and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or...

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Abstract

The invention relates to a learning task compiling method of an artificial intelligence processor and a related product. The learning task compiling method of the artificial intelligence processor 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 theartificial 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 applications: [0002] This application claims to be submitted on December 29, 2018, the application number is 201811640762.2, and the invention title is "Optimization method, device, storage medium and system of convolutional neural network". technical field [0003] The present application relates to the technical field of artificial intelligence, in particular to a method for compiling learning tasks of an artificial intelligence processor and related products. Background technique [0004] When an artificial intelligence processor runs a neural network, it generally needs 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, that is, the executable file needs On which device in the heterogeneous computer system is executed. After the executable file is compiled and linked, the executable program of the neural netwo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 不公告发明人
Owner CAMBRICON TECH CO LTD
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