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ACCELERATOR TEST METHOD AND VERIFICATION PLATFORM

机译:加速器测试方法和验证平台

摘要

An accelerator test method and a verification platform. The test method comprises: generating at least one target neural network (110); translating the at least one target neural network into neural network instructions (120); separately inputting the neural network instructions into an accelerator and a software model matching the accelerator for execution, and determining the difference between the output results of the neural network instructions (130); and determining, according to the difference between the output results of the neural network instructions, an instruction in which an abnormality occurs during the operation of the accelerator (140). The performance of the accelerator can be effectively tested by means of the generated at least one target neural network.
机译:加速器测试方法和验证平台。该测试方法包括:生成至少一个目标神经网络(110);以及将至少一个目标神经网络转换成神经网络指令(120);将神经网络指令分别输入加速器和与该加速器匹配的软件模型以执行,并确定神经网络指令的输出结果之间的差异(130);根据神经网络指令的输出结果之间的差异,确定在加速器的操作期间发生异常的指令(140)。借助于产生的至少一个目标神经网络可以有效地测试加速器的性能。

著录项

  • 公开/公告号WO2020211037A1

    专利类型

  • 公开/公告日2020-10-22

    原文格式PDF

  • 申请/专利权人 SZ DJI TECHNOLOGY CO. LTD.;

    申请/专利号WO2019CN83225

  • 发明设计人 WANG YAOJIE;LIN MANHONG;CHEN LIN;

    申请日2019-04-18

  • 分类号G06N3/02;

  • 国家 WO

  • 入库时间 2022-08-21 11:08:57

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