公开(公告)号：US20240394507A1

公开(公告)日：2024-11-28

申请号：US18714656

申请日：2022-11-04

Applicant: Lemon Inc.

Inventor： Yibo ZHU ,  Yangrui CHEN ,  Jun HE ,  Yanghua PENG ,  Chuanxiong GUO ,  Jian WANG

IPC: G06N3/042 ,  G06N5/01

Abstract: The disclosure relates to a method, apparatus, system, medium and electronic device for graph neural network generation. The method includes: obtaining a subgraph structure, the subgraph structure being configured to reflect a graph structure of a corresponding subgraph, and the subgraph comprising a plurality of nodes and edges between the plurality of nodes; obtaining, based on the subgraph structure and according to a predetermined priority, node features of the plurality of nodes and edge features of the edges from a plurality of memories; the predetermined priority being obtained by sorting the plurality of memories in accordance with memory size in an ascending order; fusing, based on the subgraph structure, the node features of the plurality of nodes and the edge features of the edges to obtain subgraph data; and training, based on the subgraph data, the graph neural network.

公开(公告)号：US20240104687A1

公开(公告)日：2024-03-28

申请号：US18532819

申请日：2023-12-07

Applicant: Lemon Inc.

Inventor： Zhichao LI ,  Sikai QI ,  Zherui LIU ,  Yibo ZHU ,  Chuanxiong GUO ,  Cheng TAN ,  Jian ZHANG ,  Jian WANG

IPC: G06T1/20

CPC classification number: G06T1/20

Abstract: Embodiments of the disclosure provide a method and apparatus for running a service, and an electronic device. An embodiment of the method includes: determining a target deployment manner of a graphics processing unit (GPU) according to performance data of each service in a service set, where the deployment manner includes: dividing the GPU into sub-GPUs of a respective size and determining a service configured to be run by each sub-GPU; and switching, for the service in the service set, running of the service from a sub-GPU indicated by a current deployment manner to a sub-GPU indicated by the target deployment manner. According to the embodiment, waste of the GPU can be reduced by running a plurality of services on the GPU.