Title:
COMPUTING METHOD AND APPARATUS FOR CONVOLUTIONAL NEURAL NETWORK MODEL
Document Type and Number:
WIPO Patent Application WO/2021/077533
Kind Code:
A1
Abstract:
A computing method and apparatus for a convolutional neural network model. The method comprises: acquiring a computing model of a training task of a convolutional neural network model (S101); then splitting multiply-accumulate operation in a computing model of a training task of the convolutional neural network model into a plurality of multiply-add operation tasks (S102); confirming a computing device corresponding to each multiply-add operation task according to the correlation between a preset computing model and the computing device (S103); and finally, respectively computing each multiply-add operation task by utilizing the computing device corresponding to each multiply-add operation task (S104). The purposes of improving the flexibility of migration of a CNN model training task on different computing devices or cooperative computing of different processors and improving the computing speed are achieved.
Inventors:
GUO ZHENHUA (CN)
FAN BAOYU (CN)
WANG LI (CN)
GAO KAI (CN)
FAN BAOYU (CN)
WANG LI (CN)
GAO KAI (CN)
Application Number:
PCT/CN2019/121104
Publication Date:
April 29, 2021
Filing Date:
November 27, 2019
Export Citation:
Assignee:
INSPUR ELECTRONIC INFORMATION INDUSTRY CO LTD (CN)
International Classes:
G06N3/04; G06N3/063; G06N3/08
Foreign References:
| CN105630882A | 2016-06-01 | |||
| CN110210378A | 2019-09-06 | |||
| CN104978601A | 2015-10-14 | |||
| US20190138891A1 | 2019-05-09 | |||
| CN201911022124A | 2019-10-25 |
Attorney, Agent or Firm:
UNITALEN ATTORNEYS AT LAW (CN)
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