Invention Grant
- Patent Title: Neural network instruction set architecture
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Application No.: US15820704Application Date: 2017-11-22
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Publication No.: US11379707B2Publication Date: 2022-07-05
- Inventor: Ravi Narayanaswami , Dong Hyuk Woo , Olivier Temam , Harshit Khaitan
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N3/04 ; G06N3/063 ; G06F13/28

Abstract:
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.
Public/Granted literature
- US20180197068A1 NEURAL NETWORK INSTRUCTION SET ARCHITECTURE Public/Granted day:2018-07-12
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