- 专利标题: DYNAMIC QUANTIZATION OF NEURAL NETWORKS
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申请号: US18363408申请日: 2023-08-01
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公开(公告)号: US20240104378A1公开(公告)日: 2024-03-28
- 发明人: Michael E. Deisher
- 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
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06F5/01 ; G06F7/544 ; G06F7/57 ; G06N3/02 ; G06N3/044 ; G06N3/045 ; G06N3/048 ; G06N3/063
摘要:
An apparatus for applying dynamic quantization of a neural network is described herein. The apparatus includes a scaling unit and a quantizing unit. The scaling unit is to calculate an initial desired scale factors of a plurality of inputs, weights and a bias and apply the input scale factor to a summation node. Also, the scaling unit is to determine a scale factor for a multiplication node based on the desired scale factors of the inputs and select a scale factor for an activation function and an output node. The quantizing unit is to dynamically requantize the neural network by traversing a graph of the neural network.
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