Neural network convolution operation device and method

A technology of neural network and convolution operation, applied in the field of artificial neural network, can solve the problems of reducing the operation speed of neural network and affecting the use of neural network, so as to achieve the effect of reducing the amount of calculation, increasing the speed of operation and improving efficiency

Active Publication Date: 2020-08-14
SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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AI Technical Summary

Problems solved by technology

The resulting problem is that the neural network needs to do more calculations, especially the convolutional neural network. A large number of convolution operations reduce the calculation speed of the neural network and affect the use of the neural network in practical applications.

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  • Neural network convolution operation device and method
  • Neural network convolution operation device and method
  • Neural network convolution operation device and method

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Embodiment Construction

[0056] Other aspects, advantages and salient features of the present disclosure will become apparent to those skilled in the art from the following detailed description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings.

[0057] In this disclosure, the terms "include" and "comprising" and their derivatives mean to include but not to limit; the term "or" is inclusive, meaning and / or.

[0058] In this specification, the various embodiments described below to describe the principles of the present disclosure are illustrative only and should not be construed as limiting the scope of the invention in any way. The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of exemplary embodiments of the present disclosure as defined by the claims and their equivalents. The following description includes numerous specific details to aid in understanding, but these should be co...

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Abstract

A neural network convolution operation device and method, wherein the device is used to realize the convolution operation of the weight matrix and neurons in the neural network in the form of matrix multiplication, which includes: a shift operator, used for the neural network The element matrix and the weight matrix are respectively subjected to winograd transformation to obtain a transformed neuron matrix and a transformed weight matrix; a matrix multiplication operator is used to multiply the transformed neuron matrix and the transformed weight matrix matrix multiplication operation to obtain a multiplication matrix; the shift operator is also used to perform winograd inverse transformation on the multiplication matrix to obtain a convolution operation result; the controller is used to control the shift operator to perform winograd transformation or The winograd inverse transform is also used to control the matrix multiplication operator to perform matrix multiplication.

Description

technical field [0001] The present disclosure relates to the technical field of artificial neural networks, in particular to a neural network convolution operation device and a neural network convolution operation method. Background technique [0002] Multi-layer artificial neural networks are widely used in the fields of pattern recognition, image processing, function approximation, and optimization calculations. In recent years, multi-layer artificial neural networks have been favored by academic circles and industry is getting more and more attention. [0003] In order to meet the increasingly high task requirements, the scale of neural networks has become larger and larger. At present, large-scale convolutional neural networks have included hundreds of layers of network layer structures. The resulting problem is that the neural network needs to do more calculations, especially the convolutional neural network. A large number of convolution operations reduce the calculat...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/063
CPCG06N3/065G06N3/045G06N3/063G06F17/16G06N3/02G06N3/04
Inventor 不公告发明人
Owner SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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