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METHODS AND SYSTEMS FOR TENSOR NETWORK CONTRACTION BASED ON LOCAL OPTIMIZATION OF CONTRACTION TREE

机译:基于局部优化收缩树的张量网络收缩方法和系统

摘要

Methods and systems for tensor network contraction are provided. A method implemented by a computing host comprises obtaining a contraction tree associated with a tensor network, wherein a plurality of vertices and edges of the contraction tree correspond to a set of tensor nodes and indices of the tensor network, respectively; iteratively performing operations until a termination condition is satisfied, the operations including selecting a sub-graph of the contraction tree; replacing the sub-graph with a local optimal sub-graph; and obtaining an optimized contraction tree including the local optimal sub-graph; and outputting the optimized contraction tree.
机译:提供了张量网络收缩的方法和系统。 由计算主机实现的方法包括获取与张特网相关联的收缩树,其中收缩树的多个顶点和边缘分别对应于张量网络的一组张力节点和索引; 迭代地执行操作,直到满足终止条件,包括选择收缩树的子图的操作; 用本地最佳子图替换子图; 并获得优化的收缩树,包括本地最佳子图; 并输出优化的收缩树。

著录项

  • 公开/公告号US2021334313A1

    专利类型

  • 公开/公告日2021-10-28

    原文格式PDF

  • 申请/专利权人 ALIBABA GROUP HOLDING LIMITED;

    申请/专利号US202117239071

  • 发明设计人 JIACHEN HUANG;JIANXIN CHEN;

    申请日2021-04-23

  • 分类号G06F16/901;G06T1/20;G06N5;G06F17/16;

  • 国家 US

  • 入库时间 2022-08-24 21:57:23

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