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Data processing method and device, electronic equipment and readable storage medium

A data processing and data technology, applied in the field of neural networks, can solve problems such as low computing efficiency and low computing efficiency of AI chips

Active Publication Date: 2022-05-10
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Data deformation processing makes the computing efficiency of AI chips lower
[0003] Therefore, the problem of low computing efficiency in related technologies is a technical problem to be solved by those skilled in the art

Method used

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  • Data processing method and device, electronic equipment and readable storage medium
  • Data processing method and device, electronic equipment and readable storage medium
  • Data processing method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0080] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0081] Deep learning networks mainly include Convolutional Neural Networks (CNN, Convolutional Neural Networks), Recurrent Neural Networks (RNN, Recurrent Neural Network), Transformer classes, etc. Among them, CNN is mainly used in the field of video / image analysis; RNN is mainly used for time series data processing ...

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Abstract

The invention discloses a data processing method and device, a convolution adapter and a computer readable storage medium, the method is applied to the convolution adapter, the convolution adapter is arranged between an external storage and an internal cache of a computing unit, and the method comprises the following steps: acquiring register data; wherein the register data is determined based on a data type of the target data and / or a convolution type of convolution processing of the target data, and is used for describing a reading mode of the target data; based on the register data, reading the target data from the external storage, and storing the target data into the internal cache according to a data reading sequence; by means of the data reading mode corresponding to the data type or the convolution type, conversion from the target data to the general format is completed in the data reading and storing process, a calculation unit can directly obtain the target data in the general format from an internal cache for calculation, data deformation is not needed, and calculation efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of neural networks, and in particular, to a data processing method, a data processing apparatus, an electronic device, and a computer-readable storage medium. Background technique [0002] The basic operation of the convolutional neural network is the multiplication and addition operation, which requires a large amount of computation, and the multiplication and addition operations in the same convolutional layer have little correlation, so it is easy to perform parallel expansion, such as in AI (Artificial Intelligence, artificial intelligence) chips. A number of arithmetic operation units (ALU, Arithmetic and Logic Unit, mainly referring to multiply and add operations) are stacked inside to realize the parallel architecture of single instruction multiple data (SIMD) or single instruction multithreading, or the spatial architecture of data stream processing. AI chips should be able to adapt to vari...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/15G06F17/16G06F3/06
CPCG06F17/15G06F17/16G06F3/0656G06F3/0661G06F3/0647Y02D10/00
Inventor 贾兆荣
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD