- 专利标题: Computation of neural network node with large input values
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申请号: US16212645申请日: 2018-12-06
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公开(公告)号: US11531727B1公开(公告)日: 2022-12-20
- 发明人: Jung Ko , Kenneth Duong , Steven L. Teig
- 申请人: Perceive Corporation
- 申请人地址: US CA San Jose
- 专利权人: Perceive Corporation
- 当前专利权人: Perceive Corporation
- 当前专利权人地址: US CA San Jose
- 代理机构: Adeli LLP
- 主分类号: G06F17/16
- IPC分类号: G06F17/16 ; G06N3/063 ; G06F9/30 ; G06F5/01
摘要:
Some embodiments provide a method for a circuit that executes a neural network including multiple nodes. The method loads a set of weight values for a node into a set of weight value buffers, a first set of bits of each input value of a set of input values for the node into a first set of input value buffers, and a second set of bits of each of the input values into a second set of input value buffers. The method computes a first dot product of the weight values and the first set of bits of each input value and a second dot product of the weight values and the second set of bits of each input value. The method shifts the second dot product by a particular number of bits and adds the first dot product with the bit-shifted second dot product to compute a dot product for the node.
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