- 专利标题: LOOK-UP TABLE BASED NEURAL NETWORKS
-
申请号: US17978026申请日: 2022-10-31
-
公开(公告)号: US20230186082A1公开(公告)日: 2023-06-15
- 发明人: Michele Covell , David Marwood , Shumeet Baluja , Nicholas Johnston
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06F1/03 ; G06N3/048
摘要:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing a network input using a neural network to generate a network output for the network input. One of the methods includes maintaining, for each of the plurality of neural network layers, a respective look-up table that maps each possible combination of a quantized input index and a quantized weight index to a multiplication result; and generating a network output from a network input, comprising, for each of the neural network layers: receiving data specifying a quantized input to the neural network layer, the quantized input comprising a plurality of quantized input values; and generating a layer output for the neural network layer from the quantized input to the neural network layer using the respective look-up table for the neural network layer.
公开/授权文献
- US12118466B2 Look-up table based neural networks 公开/授权日:2024-10-15
信息查询