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Memory allocation method and device and electronic equipment

A memory allocation and memory technology, applied in the computer field, can solve problems such as large tensor size, chip consumption, and multiple memory

Active Publication Date: 2021-04-16
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the neural network often has many layers and a large tensor size, it will consume more memory on the chip

Method used

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  • Memory allocation method and device and electronic equipment
  • Memory allocation method and device and electronic equipment
  • Memory allocation method and device and electronic equipment

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Embodiment Construction

[0023] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0024] The memory allocation method, device and electronic equipment according to the embodiments of the present application are described below with reference to the accompanying drawings.

[0025] Artificial intelligence is a discipline that studies the use of computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reason...

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Abstract

The invention discloses a memory allocation method and device and electronic equipment, and relates to the technical field of computers, in particular to the technical field of artificial intelligence such as voice technology and deep learning. According to a specific embodiment of the invention, the method comprises the following steps that: multiple frames of voice data are received; and the multiple frames of voice data are inputted into a neural network model, wherein the neural network model applies for a plurality of data tensors when processing the multiple frames of voice data, wherein the plurality of data tensors share a shared memory. According to the memory allocation method provided by the embodiment of the invention, the memory overhead can be effectively reduced, and meanwhile, the balance of memory and calculation can be ensured.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of artificial intelligence technology such as speech technology and deep learning, and in particular to a memory allocation method, device and electronic equipment. Background technique [0002] Artificial intelligence has developed rapidly in recent years, and deep learning and neural networks are the basis for the development of artificial intelligence. Since the neural network often has many layers and a large tensor size, it will consume more memory on the chip. Moreover, in recent years, the demand for deploying neural networks on embedded devices has become stronger and stronger. Therefore, the optimization of memory allocation is very important. Contents of the invention [0003] The present application provides a memory allocation method, device and electronic equipment. [0004] According to one aspect of the present application, a memory alloca...

Claims

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Application Information

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IPC IPC(8): G10L15/28G10L15/16G10L25/30G06N3/08
CPCG10L15/285G10L15/16G06N3/063G06F2212/1044G06F12/0207G06N3/045G06F12/0223G10L15/22
Inventor 田超贾磊
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD