MindSpore
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Developer(s) | Huawei |
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Initial release | March 31, 2020 |
Stable release | 2.3.RC1 April 24, 2024 |
Repository | github |
Written in | C++, Rust, Julia, Python, ArkTS, Cangjie, Java (Lite) |
Platform | Linux, Microsoft Windows, macOS, EulerOS, openEuler, OpenHarmony, Oniro OS, HarmonyOS, Android |
Type | Machine learning library |
License | Apache License 2.0 |
Website | www |
Part of a series on |
Machine learning and data mining |
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MindSpore is a open-source software framework for deep learning, machine learning and artificial intelligence developed by Huawei.[1][2]
Overview
[edit]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.[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]
It supports cross platform development such as Android, iOS, Windows,[6] global OpenHarmony-based distro, Eclipse Oniro, Linux-based EulerOS alongside OpenEuler Huawei's server OS platforms, macOS and Linux.[7][8]
History
[edit]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.[9]
See also
[edit]References
[edit]- ^ "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. Retrieved February 13, 2024.
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ignored (help) - ^ "Inference on the Ascend 310 AI Processor". MindSpore. Retrieved February 13, 2024.
- ^ Bhati, Kamlesh. "Huawei HarmonyOS NEXT Official Now: Bring Spatial Design and Vivid Color Concepts". Sparrownews.com. Retrieved February 13, 2024.
- ^ "OpenHarmony 4.1 Beta1 Unleashes Cutting-Edge Features and API Advancements". World Tech. FTT World. Retrieved February 13, 2024.
- ^ MSV, Janakiram. "Huawei Wants To Tackle NVIDIA And Google With A Solid AI Strategy". Forbes. Retrieved March 11, 2024.
- ^ "MindSpore Installation on CPU-Windows — MindSpore master documentation". www.mindspore.cn. Retrieved July 8, 2024.
- ^ "Android Application Development Based on Java Interface — MindSpore Lite master documentation". www.mindspore.cn. Retrieved July 8, 2024.
- ^ Klingler, Nico (December 20, 2023). "MindSpore: Huawei's Open-Source Deep Learning Framework". viso.ai. Retrieved July 8, 2024.
- ^ "MindSpore官网". www.mindspore.cn. Retrieved July 7, 2024.
Bibliography
[edit]- 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 978-9811622359.
- Deep Learning and Mindspore Practice (Huawei Intelligent Computing Technology Series)(Chinese Edition) (1st ed.). Tsinghua University Press. March 1, 2020. p. 355. ISBN 978-7302546610.