MindSpore is a open-source software framework for deep learning, machine learning and artificial intelligence developed by Huawei.[1][2]
 | |
| Developer(s) | Huawei |
|---|---|
| Initial release | March 31, 2020 |
| Repository | github |
| Written in | C++, Rust, Julia, Python, ArkTS, Cangjie, Java (Lite) |
| Platform | Linux, Microsoft Windows, EulerOS, openEuler, OpenHarmony, Oniro OS, HarmonyOS, Android |
| Type | Machine learning library |
| License | Apache License 2.0 |
| Website | www |
Overview
It has support for custom OpenHarmony-based HarmonyOS NEXT core system, includes an AI system stack that comes with Huawei's built LLM model called PanGu-Σ with full MindSpore framework support.[3] Alongside, OpenHarmony Native device-side AI support for training interface and ArkTS programming interface for its NNRt (Neural Network Runtime) backend configurations via MindSpore Lite AI framework codebase introduced in API 11 Beta 1 of OpenHarmony 4.1. MindSpore platform runs on Ascend AI chips and Kirin alongside other HiSilicon NPU chips. [4]
CANN (Compute Architecture of Neural Networks), heterogeneous computing architecture for AI developed by Huawei. With CANN backend in OpenCV DNN, giving developers ability to run created AI models on the Ascend, Kirin and other HiSilicon NPU enabled chips.[5]
See also
References
Bibliography
- Huawei MindSpore AI Development Framework (1st (Online) ed.). Springer, Singapore. October 22, 2022. pp. 137–162. ISBN 978-981-19-2879-6.
- Lei, Chen (January 1, 2021). Deep Learning and Practice with MindSpore (1st ed.). Springer. p. 412. ISBN 9811622353.
- Deep Learning and Mindspore Practice (Huawei Intelligent Computing Technology Series)(Chinese Edition) (1st ed.). Tsinghua University Press. March 1, 2020. p. 355. ISBN 7302546614.