Data processing method and apparatus, and computer device and storage medium
By conducting structural search and automatic quantification of AI models, the problems of high code invasiveness and poor universality caused by manual intervention of traditional quantization methods are solved, and the efficient deployment of AI models on terminal devices is achieved.
Patent Information
- Application Number
- PCT/CN2023/128556
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-06-19
- Filing Date
- 2023-10-31
- Publication Date
- 2024-12-26
AI Technical Summary
Traditional quantization methods require manual modification of AI models, resulting in high code invasiveness, slow quantization speed and lack of versatility, making it difficult to effectively deploy complex AI models on end devices with high requirements for real-time performance.
By conducting structural search on the initial model, the quantitative forgery operator is automatically selected according to the target structure type in the model structure chart for quantization, and a business model is generated to realize the automation and universality of model quantification.
It improves the speed of model quantization, reduces labor costs, realizes the versatility of model quantization, is suitable for various AI model structures, and reduces code intrusion.
Smart Images

Figure CN2023128556_26122024_PF_FP_ABST
Abstract
Citation Information
Patent Citations
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