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Data processing method and device of neural network

A neural network and data processing technology, applied in the field of neural network data processing, can solve problems such as unproposed solutions, and achieve the effect of improving processing efficiency

Active Publication Date: 2020-03-27
合肥君正科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] For the above problems, no effective solution has been proposed

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  • Data processing method and device of neural network
  • Data processing method and device of neural network
  • Data processing method and device of neural network

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Embodiment Construction

[0043] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the embodiments and accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0044] Considering that some calculations in the existing neural network system cannot be completed by the NPU, other processors, such as CPU / GPU, etc. are needed for processing, so that there is interaction between the NPU and other processors, and there is data in the interaction with data. Interaction cost, there is also the problem of data processing efficiency.

[0045] Specifically, the following problems exist in the existing data interaction: Suppose there is a neural network, one layer is convolution (CONV1), and the subsequent layer reverses the feature map (feature map) generated by ...

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Abstract

The invention provides a data processing method and device of a neural network, and the method comprises the steps of a neural network processor carrying out the convolution processing of the data ofa current channel, and obtaining a convolution processing result of the current channel; sending the convolution processing result of the channel to an external processor, performing a predetermined operation on the convolution processing result of the current channel through the external processor, and performing convolution processing on the next channel of the current channel at the same time;and obtaining a predetermined operation result of the external processor on the current channel, and performing pooling processing on the predetermined operation result of the current channel. According to the scheme, the problem that the processing efficiency is low due to the fact that the next layer needs to be triggered for processing after all channel data are processed is solved, and the technical effect of effectively improving the processing efficiency is achieved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a neural network data processing method and device. Background technique [0002] Neural Network (Neural Network) is a research hotspot in the field of artificial intelligence since the 1980s. The neural network abstracts the human brain neuron network from the perspective of information processing, thereby establishing a simple model, and then, according to different The connections form different networks. In engineering and academia, it is often referred to directly as a neural network or a neural network. [0003] A neural network is an operational model consisting of a large number of nodes (or neurons) connected to each other. Each node represents a specific output function called an activation function. Each connection between two nodes represents a weighted value for the signal passing through the connection, called weight, which is equivalent to the me...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063
CPCG06N3/063Y02D10/00
Inventor 翟云
Owner 合肥君正科技有限公司