- 专利标题: Neural network instruction set architecture
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申请号: US15455685申请日: 2017-03-10
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公开(公告)号: US09836691B1公开(公告)日: 2017-12-05
- 发明人: Ravi Narayanaswami , Dong Hyuk Woo , Olivier Temam , Harshit Khaitan
- 申请人: Google Inc.
- 申请人地址: US CA Mountain View
- 专利权人: Google Inc.
- 当前专利权人: Google Inc.
- 当前专利权人地址: US CA Mountain View
- 代理机构: Fish & Richardson P.C.
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; G06F13/28
摘要:
A computer-implemented method that includes receiving, by a processing unit, an instruction that specifies data values for performing a tensor computation. In response to receiving the instruction, the method may include, performing, by the processing unit, the tensor computation by executing a loop nest comprising a plurality of loops, wherein a structure of the loop nest is defined based on one or more of the data values of the instruction. The tensor computation can be at least a portion of a computation of a neural network layer. The data values specified by the instruction may comprise a value that specifies a type of the neural network layer, and the structure of the loop nest can be defined at least in part by the type of the neural network layer.
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