发明公开
- 专利标题: DATA PROCESSING SYSTEM AND DATA PROCESSING METHOD FOR DEEP NEURAL NETWORK MODEL
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申请号: US18522242申请日: 2023-11-29
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公开(公告)号: US20240204804A1公开(公告)日: 2024-06-20
- 发明人: Yu-Chih Huang , Li-Yang Tseng
- 申请人: Industrial Technology Research Institute
- 申请人地址: TW Hsinchu
- 专利权人: Industrial Technology Research Institute
- 当前专利权人: Industrial Technology Research Institute
- 当前专利权人地址: TW Hsinchu
- 优先权: TW 2138426 2023.10.06
- 主分类号: H03M13/27
- IPC分类号: H03M13/27 ; H03M13/00 ; H04L1/00
摘要:
A data processing method for a DNN model includes: reading weights of transmission data; quantizing each weight into bits sequentially including first, second, third, and fourth-type bits; sequentially interleaving the first-type bit into a first bit set; sequentially interleaving each second-type bit into second bit sets and reading a second compression rate of each second bit set in response to the compressible second bit sets; interleaving the third-type bit into a third bit set and reading a third compression rate of the third bit set in response to the compressible third bit set; compressing each second bit set with the second compression rate, and compressing the third bit set with the third compression rate; sequentially coding the first bit set, each compressed second bit set, and the compressed third bit set to generate first encoded data corresponding to the transmission data; transmitting the first encoded data to an external device.
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