- 专利标题: Dynamic task allocation for neural networks
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申请号: US16776338申请日: 2020-01-29
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公开(公告)号: US11520629B2公开(公告)日: 2022-12-06
- 发明人: Francesco Rossi , Gaurav Kapoor , Michael R. Siracusa , William B. March
- 申请人: Apple Inc.
- 申请人地址: US CA Cupertino
- 专利权人: Apple Inc.
- 当前专利权人: Apple Inc.
- 当前专利权人地址: US CA Cupertino
- 代理机构: Bakerhostetler
- 主分类号: G06F9/46
- IPC分类号: G06F9/46 ; G06F9/50 ; G06N3/063 ; G06F8/41 ; G06F9/48 ; G06N3/02
摘要:
The subject technology provides for dynamic task allocation for neural network models. The subject technology determines an operation performed at a node of a neural network model. The subject technology assigns an annotation to indicate whether the operation is better performed on a CPU or a GPU based at least in part on hardware capabilities of a target platform. The subject technology determines whether the neural network model includes a second layer. The subject technology, in response to determining that the neural network model includes a second layer, for each node of the second layer of the neural network model, determines a second operation performed at the node. Further the subject technology assigns a second annotation to indicate whether the second operation is better performed on the CPU or the GPU based at least in part on the hardware capabilities of the target platform.
公开/授权文献
- US20200167193A1 DYNAMIC TASK ALLOCATION FOR NEURAL NETWORKS 公开/授权日:2020-05-28
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