Software:MindSpore

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MindSpore
Developer(s)Huawei
Initial releaseMarch 31, 2020; 5 years ago (2020-03-31)
Stable release
2.3.RC1 April 24, 2024; 21 months ago (2024-04-24)
Repositorygithub.com/mindspore-ai/mindspore
Written inC++, Rust, Julia, Python, ArkTS, Cangjie, Java (Lite)
PlatformLinux, Microsoft Windows, macOS, EulerOS, openEuler, OpenHarmony, Oniro OS, HarmonyOS, Android
TypeMachine learning library
LicenseApache License 2.0
Websitewww.mindspore.cn/en
Machine learning and
data mining
Problems
Supervised learning
(classification • regression)
Clustering
Dimensionality reduction
Structured prediction
Anomaly detection
Artificial neural networks
Reinforcement learning
Theory
Machine-learning venues
Glossary of artificial intelligence
Related articles

MindSpore is a open-source software framework for deep learning, machine learning and artificial intelligence developed by Huawei.[1][2]

Overview

MindSpore provides support for Python by allowing users to define models, control flow, and custom operators using native Python syntax. Unlike graph-based frameworks that require users to learn DSL or complex APIs, MindSpore adopts a source-to-source (S2S) automatic differentiation approach, allowing Python code to be automatically transformed into optimized computational graphs.[3]

It has support for custom OpenHarmony-based HarmonyOS NEXT single core framework system built for HarmonyOS, includes an AI system stack that comes with Huawei's built LLM model called PanGu-Σ with full MindSpore framework support.[4] 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. [5]

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.[6]

It supports cross platform development such as Android, iOS, Windows,[7] global OpenHarmony-based distro, Eclipse Oniro, Linux-based EulerOS alongside OpenEuler Huawei's server OS platforms, macOS and Linux.[8][9]

History

On April 24, 2024, Huawei's MindSpore 2.3.RC1 was released to open source community with Foundation Model Training, Full-Stack Upgrade of Foundation Model Inference, Static Graph Optimization, IT Features and new MindSpore Elec MT (MindSpore-powered magnetotelluric) Intelligent Inversion Model.[10]

See also

References

  1. ↑ "Huawei MindSpore AI Development Framework". Artificial Intelligence Technology. Huawei Technologies. 2023. pp. 137–162. doi:10.1007/978-981-19-2879-6_5. ISBN 978-981-19-2878-9. https://link.springer.com/chapter/10.1007/978-981-19-2879-6_5. Retrieved 13 February 2024. 
  2. ↑ "Inference on the Ascend 310 AI Processor". https://www.mindspore.cn/docs/programming_guide/en/r1.5/multi_platform_inference_ascend_310_air.html. 
  3. ↑ Lei, Chen (January 1, 2021). Deep Learning and Practice with MindSpore (1st ed.). Springer. p. 412. ISBN 978-9811622359. https://www.researchgate.net/publication/353953238. 
  4. ↑ Bhati, Kamlesh. "Huawei HarmonyOS NEXT Official Now: Bring Spatial Design and Vivid Color Concepts". https://sparrowsnews.com/2024/01/18/huawei-harmonyos-next-official-now/#google_vignette. 
  5. ↑ "OpenHarmony 4.1 Beta1 Unleashes Cutting-Edge Features and API Advancements". FTT World. https://technology.followthistrendingworld.com/2024/01/openharmony-41-beta1-unleashes-cutting.html. 
  6. ↑ MSV, Janakiram. "Huawei Wants To Tackle NVIDIA And Google With A Solid AI Strategy". Forbes. https://www.forbes.com/sites/janakirammsv/2019/09/13/huawei-wants-to-tackle-nvidia-and-google-with-a-solid-ai-strategy/?sh=1ee4c2206174. 
  7. ↑ "MindSpore Installation on CPU-Windows — MindSpore master documentation". https://www.mindspore.cn/tutorial/training/en/r1.0/quick_start/quick_video/cpu_windows.html. 
  8. ↑ "Android Application Development Based on Java Interface — MindSpore Lite master documentation". https://www.mindspore.cn/tutorial/lite/en/r1.2/quick_start/image_segmentation.html. 
  9. ↑ Klingler, Nico (2023-12-20). "MindSpore: Huawei's Open-Source Deep Learning Framework" (in en-US). https://viso.ai/deep-learning/mindspore-ai/. 
  10. ↑ "MindSpore官网" (in en). https://www.mindspore.cn/news/newschildren/en/?id=3078&type=versionRelease. 

Bibliography



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