CN114514506A - 深度学习框架的调整方法、装置、服务器及存储介质 - Google Patents

深度学习框架的调整方法、装置、服务器及存储介质 Download PDF

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CN114514506A
CN114514506A CN201980100791.6A CN201980100791A CN114514506A CN 114514506 A CN114514506 A CN 114514506A CN 201980100791 A CN201980100791 A CN 201980100791A CN 114514506 A CN114514506 A CN 114514506A
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operator
data flow
computation graph
deep learning
target
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CN201980100791.6A
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邹伟
熊超
牛昕宇
蔡权雄
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Shenzhen Corerain Technologies Co Ltd
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Shenzhen Corerain Technologies Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/29—Graphical models, e.g. Bayesian networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
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  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Neurology (AREA)
  • Stored Programmes (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

本申请实施例公开了一种深度学习框架的调整方法、装置、服务器及存储介质，该方法包括：获取初始数据流计算图，所述初始数据流计算图包括计算初始常量表达式的第一算子；根据所述初始常量表达式中的参数得到目标数据流计算图，所述目标数据流计算图包括第二算子，所述目标数据流计算图用于控制深度学习框架芯片进行数据计算，所述第二算子的颗粒度大于所述第一算子的颗粒度以调整深度学习框架芯片的计算量。

Description

PCT国内申请，说明书已公开。

Claims (10)

  1. PCT国内申请，权利要求书已公开。
CN201980100791.6A 2019-10-22 2019-10-22 深度学习框架的调整方法、装置、服务器及存储介质 Pending CN114514506A (zh)

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PCT/CN2019/112463 WO2021077281A1 (zh) 2019-10-22 2019-10-22 深度学习框架的调整方法、装置、服务器及存储介质

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CN114514506A true CN114514506A (zh) 2022-05-17

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US (1) US20220366249A1 (zh)
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WO (1) WO2021077281A1 (zh)

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CN116167437B (zh) * 2023-04-18 2023-07-11 之江实验室 一种芯片管理系统、方法、设备及存储介质

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106547522A (zh) * 2015-09-17 2017-03-29 华为技术有限公司 一种流应用优化的方法及装置
CN109325069A (zh) * 2018-09-07 2019-02-12 腾讯科技（深圳）有限公司 业务处理方法、装置及网络设备

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* Cited by examiner, † Cited by third party
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KR101660348B1 (ko) * 2009-09-16 2016-09-27 아브 이니티오 테크놀로지 엘엘시 데이터세트 요소의 매핑
CN105426504A (zh) * 2015-11-27 2016-03-23 陕西艾特信息化工程咨询有限责任公司 一种基于内存计算的分布式数据分析处理方法

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106547522A (zh) * 2015-09-17 2017-03-29 华为技术有限公司 一种流应用优化的方法及装置
CN109325069A (zh) * 2018-09-07 2019-02-12 腾讯科技（深圳）有限公司 业务处理方法、装置及网络设备

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US20220366249A1 (en) 2022-11-17

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