- 专利标题: Fast Convolution over Sparse and Quantization Neural Network
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申请号: US17256121申请日: 2018-09-07
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公开(公告)号: US20210216871A1公开(公告)日: 2021-07-15
- 发明人: Yu Zhang , Huifeng LE , Richard CHUANG , Metz WERNER, Jr. , Heng Juen HAN , Ning ZHANG , Wenjian SHAO , Ke HE
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: Intel Corporation
- 当前专利权人: Intel Corporation
- 当前专利权人地址: US CA Santa Clara
- 国际申请: PCT/CN2018/104539 WO 20180907
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/04
摘要:
Processes and systems are disclosed. The processes and systems are arranged to apply convolution for a CNN where the CNN is simplified using sparse techniques, quantization techniques or both sparse and quantization techniques. A location vector (LV) table is provided to record the coordinates of non-zero weights. A look up table is provided to recover the real weight value from the weight identification. Convolution is applied by retrieving the coordinates of the next non-zero weight and the associated real weight value and by accumulating the multiplication of the real weight value and the input value across the input activation plane.
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