Title:
NEURAL NETWORK MODEL OPTIMIZATION METHOD AND APPARATUS, AND COMPUTING DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/125628
Kind Code:
A1
Abstract:
Disclosed are a neural network model optimization method and apparatus, and a computing device, which relate to the field of artificial intelligence. The method comprises: a computing device acquiring a neural network model to be optimized, and matching a sub-graph included in a sub-graph set with a sub-graph possibly formed by an operator included in said neural network model; and if a first sub-graph in said neural network model is matched by means of the computing device, replacing the first sub-graph with a second sub-graph, which is equivalent to the first sub-graph, in the sub-graph set to obtain an optimized neural network model, wherein the optimized neural network model includes the second sub-graph, and the processing efficiency of the second sub-graph on input data is higher than the processing efficiency of the first sub-graph on the input data. In this way, insofar as it is ensured that the precision of processing data by the neural network model is lossless, the duration in which the neural network model processes the data is significantly shortened.
Inventors:
YUAN XIHAO (CN)
LIN JING (CN)
YAN YICHAO (CN)
WANG BING (CN)
LIN JING (CN)
YAN YICHAO (CN)
WANG BING (CN)
Application Number:
PCT/CN2022/142689
Publication Date:
July 06, 2023
Filing Date:
December 28, 2022
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
G06N3/063
Foreign References:
| CN110659728A | 2020-01-07 | |||
| CN111723935A | 2020-09-29 | |||
| CN111860820A | 2020-10-30 | |||
| US20210319298A1 | 2021-10-14 |
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