Lynxi Technologies Co., Ltd.

Chuan Hu

Han Li

Yaolong Zhu

Fanhui Meng

Feng Wang

Weihao Zhang

Ruiqiang Ding

Xinyang Wu

Disclosed are a network accuracy quantification method, system, and device, an electronic device and a readable medium, which are applicable to a many-core chip. The method includes: determining a reference accuracy according to a total core resource number of the many-core chip and the number of core resources required by each network to be quantified, with the number of the core resources required by each network to be quantified being the number of the core resources which is determined after each network to be quantified is quantified; and determining a target accuracy corresponding to each network to be quantified according to the reference accuracy and the total core resource number of the many-core chip.

Network accuracy quantification method and system, device, electronic device and readable medium

A neural network mapping method and a neural network mapping apparatus are provided. The method includes: mapping a calculation task for a preset feature map of each network layer in a plurality of network layers in a convolutional neural network to at least one processing element of a chip; acquiring the number of phases needed by a plurality of processing elements in the chip for completing the calculation tasks, and performing a first stage of balancing on the number of phases of the plurality of processing elements; and based on the number of the phases of the plurality of processing elements obtained after the first stage of balancing, mapping the calculation task for the preset feature map of each network layer in the plurality of network layers in the convolutional neural network to at least one processing element of the chip subjected to the first stage of balancing.

Neural network mapping method and apparatus

The present application provides a method and a device for controlling a storage format of an on-chip storage resource, the method for controlling the storage format of the on-chip storage resource includes: while mapping a neural network model to a many-core system, generating an on-chip storage resource of each processing core in the many-core system, and storing the on-chip storage resource into a specified file; and parsing out a storage format of the on-chip storage resource based on the specified file, obtaining occupied storage space of each processing core, and adjusting the storage format of the on-chip storage resource of each processing core based on the occupied storage space of each processing core.

Method and device for controlling storage format of on-chip storage resource

Growing community of inventors

Beijing, China

Chuan Hu