Title:
CHIP ADAPTATION DETERMINATION METHOD AND RELATED PRODUCT
Document Type and Number:
WIPO Patent Application WO/2020/041960
Kind Code:
A1
Abstract:
A chip adaptation method and a related product. The method comprises the following steps: graphically displaying a deep learning development platform, and prompting a user to upload a data set that needs training; receiving annotation, of the data set, by the user, and converting the annotated data set into data in a set format; determining a deep learning model structure and training parameters selected by the user; inputting the data in the set format into the deep learning model structure to realize the training of a deep learning model to obtain a trained deep learning model; parsing the trained deep learning model to obtain a data flow diagram, determining a configuration file of a chip according to the data flow diagram, and performing hardware compilation acceleration according to the data flow diagram and the configuration file to obtain a hardware configuration file of the chip; and inputting the trained deep learning model into the chip, and executing hardware configuration on the chip according to the hardware configuration file of the chip to obtain an adapted chip. The method has the advantages of a low development threshold, high algorithm operation efficiency and low cost.
More Like This:
| WO/2017/100711 | AUGMENTING NEURAL NETWORKS WITH EXTERNAL MEMORY |
| WO/2022/072861 | PRIVATE SPLIT CLIENT-SERVER INFERENCING |
| WO/2021/073053 | DEVICE AND METHOD FOR CONVOLUTION OPERATION |
Inventors:
XIONG CHAO (CN)
NIU XINYU (CN)
CAI QUANXIONG (CN)
NIU XINYU (CN)
CAI QUANXIONG (CN)
Application Number:
PCT/CN2018/102633
Publication Date:
March 05, 2020
Filing Date:
August 28, 2018
Export Citation:
Assignee:
SHENZHEN CORERAIN TECH CO LTD (CN)
International Classes:
G06N3/063
Foreign References:
| CN105956660A | 2016-09-21 | |||
| CN106650922A | 2017-05-10 | |||
| CN108319456A | 2018-07-24 | |||
| US20180075339A1 | 2018-03-15 |
Attorney, Agent or Firm:
BEYOND ATTORNEYS AT LAW (CN)
Download PDF: