Convolutional neural network technology method and device and computer readable storage medium

A convolutional neural network and convolution technology, applied in the field of deep learning, can solve problems such as power consumption waste, and achieve the effect of reducing access bandwidth requirements

Pending Publication Date: 2021-06-29
CANAAN BRIGHT SIGHT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Therefore, the large-scale data exchange between the chip's internal and external memory will cause a lot of power consumption waste during the convolution calculation.

Method used

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  • Convolutional neural network technology method and device and computer readable storage medium
  • Convolutional neural network technology method and device and computer readable storage medium
  • Convolutional neural network technology method and device and computer readable storage medium

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Embodiment Construction

[0037] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0038] In the present invention, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in the specification, and are not intended to exclude one or multiple other features, numbers, steps, acts, parts, parts or combinations thereof.

[0039]In addition, it should be noted that, in the case of no...

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Abstract

The invention provides a convolutional neural network calculation method and device and a computer readable storage medium, and the method comprises the steps: determining a data volume ratio of input image data to weight data for a target convolutional layer of a convolutional neural network; and determining a preset processing mode of the target convolutional layer according to the data volume ratio, so that the calculation platform performs convolution calculation of the target convolutional layer based on the preset processing mode of the target convolutional layer. By utilizing the method, the preset processing mode suitable for the target convolutional layer is determined according to the data volume ratio, so that the access bandwidth requirement of the external memory can be reduced.

Description

technical field [0001] The invention belongs to the field of deep learning, and in particular relates to a convolutional neural network calculation method, device and computer-readable storage medium. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] For common embedded platforms, without considering the external memory, the chip itself does not have enough storage space for storing these input and output feature maps (intermediate results of operations), as well as huge weight parameters, making the external Unavoidable frequent data transfer between the memory (usually DRAM) and the inside of the chip. [0004] Therefore, large-scale data exchange between the chip's internal and external memories will cause a lot of power consumption waste during the convolution calcula...

Claims

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Application Information

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IPC IPC(8): G06N3/04
CPCG06N3/045
Inventor 徐兵张楠赓
Owner CANAAN BRIGHT SIGHT CO LTD
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