Hardware calculation simulation method and system and computer readable storage medium

A simulation method and technology of a simulation system, applied in the field of deep learning, can solve problems such as loss of precision, unsupported operators, incompatibility of hardware computing simulation systems, etc., to solve the problem of unsupported operators, improve the degree of adaptation and accuracy Effect

Pending Publication Date: 2022-01-07
SHENZHEN CORERAIN TECH CO LTD
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a hardware computing simulation method, system and computer-readable storage medium, aiming to solve the problem of operator error that may occur when using an open source deep learning hardware ...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hardware calculation simulation method and system and computer readable storage medium
  • Hardware calculation simulation method and system and computer readable storage medium
  • Hardware calculation simulation method and system and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] In related technologies, open source deep learning reasoning frameworks such as MNN / NCNN / TNN can support common hardware devices on the market, but for some uniquely designed and optimized hardware devices, using open source deep learning reasoning frameworks may generate operator Unsuitable reasoning frameworks such as non-support and precision loss cannot fully simulate the performance characteristics and advantages of hardware devices, and cannot provide accurate test support for the design stage of hardware devices.

[0043] In order to improve the adaptability and accuracy of simulation hardware device calculations, an embodiment of the present invention proposes a hardware calculation simulation method, system, and computer-readable storage medium, wherein the main steps of the method include:

[0044] Ob...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a hardware computing simulation method and system and a computer readable storage medium, the method is applied to a hardware computing simulation system, the hardware computing simulation system comprises a construction interface, a compiler and an executor, and the method comprises the following steps: obtaining a neural network through the construction interface; serializing the neural network into a software graph structure through the compiler; and acquiring the to-be-processed data and the software graph structure through the actuator, and calling a software operator corresponding to the software graph structure to perform software calculation on the to-be-processed data so as to simulate hardware calculation of the hardware module on the to-be-processed data. The invention aims to improve the adaptability and accuracy of the hardware computing simulation system for simulating the computing of hardware equipment.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a hardware computing simulation method, system and computer-readable storage medium. Background technique [0002] With the rapid development of deep learning and AI chips, deep learning systems are usually more complex, and there are unique architectures in various frameworks and hardware devices, which makes the development environment deployment, testing and iterative improvement of deep learning accuracy and performance tuning The superior work has become cumbersome and time-consuming. In order to optimize the above process, a deep learning reasoning framework was introduced. [0003] At present, common reasoning frameworks mainly include open source deep learning reasoning frameworks such as MNN / NCNN / TNN. This type of open source deep learning reasoning framework can support common hardware devices on the market. For some uniquely designed and optimized hardwar...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06N3/063G06N3/04
CPCG06N3/065G06N3/045
Inventor 郑健蔡权雄牛昕宇
Owner SHENZHEN CORERAIN TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap