Voozh

From Wikipedia, the free encyclopedia

This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages)

👁 icon

An editor has determined that sufficient sources exist to establish the subject's notability. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.
Find sources: "MindSpore" – news · newspapers · books · scholar · JSTOR (August 2024) (Learn how and when to remove this message)

👁 Image

A major contributor to this article appears to have a close connection with its subject. It may require cleanup to comply with Wikipedia's content policies, particularly neutral point of view. Please discuss further on the talk page.See our advice if the article is about you and read our scam warning in case someone asks for money to edit this article. (July 2024) (Learn how and when to remove this message)

(Learn how and when to remove this message)

MindSpore
👁 Image
Developer	Huawei
Initial release	March 31, 2020; 6 years ago (2020-03-31)
Stable release	2.3.RC1 April 24, 2024; 23 months ago (2024-04-24)
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.mindspore.cn/en
Repository	gitee.com/mindspore/mindspore

Machine learning and data mining
Part of a series on
Paradigms Supervised learning Unsupervised learning Semi-supervised learning Self-supervised learning Reinforcement learning Meta-learning Online learning Batch learning Curriculum learning Rule-based learning Neuro-symbolic AI Neuromorphic engineering Quantum machine learning
Problems Classification Generative modeling Regression Clustering Dimensionality reduction Density estimation Anomaly detection Data cleaning AutoML Association rules Semantic analysis Structured prediction Feature engineering Feature learning Learning to rank Grammar induction Ontology learning Multimodal learning
Supervised learning (classification • regression) Apprenticeship learning Decision trees Ensembles Bagging Boosting Random forest k-NN Linear regression Naive Bayes Artificial neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift
Dimensionality reduction Factor analysis CCA ICA LDA NMF PCA PGD t-SNE SDL
Structured prediction Graphical models Bayes net Conditional random field Hidden Markov
Anomaly detection RANSAC k-NN Local outlier factor Isolation forest
Neural networks Autoencoder Deep learning Feedforward neural network Recurrent neural network LSTM GRU ESN reservoir computing Boltzmann machine Restricted GAN Diffusion model SOM Convolutional neural network U-Net LeNet AlexNet DeepDream Neural field Neural radiance field Physics-informed neural networks Transformer Vision Mamba Spiking neural network Memtransistor Electrochemical RAM (ECRAM)
Reinforcement learning Q-learning Policy gradient SARSA Temporal difference (TD) Multi-agent Self-play
Learning with humans Active learning Crowdsourcing Human-in-the-loop Mechanistic interpretability RLHF
Model diagnostics Coefficient of determination Confusion matrix Learning curve ROC curve
Mathematical foundations Kernel machines Bias–variance tradeoff Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory Topological deep learning
Journals and conferences AAAI ECML PKDD NeurIPS ICML ICLR IJCAI ML JMLR
Related articles Glossary of artificial intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning
v t e

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

Overview

[edit]

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

[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.^[10]

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. {{cite book}}: |website= ignored (help)
^ "Inference on the Ascend 310 AI Processor". MindSpore. Retrieved February 13, 2024.
^ Lei, Chen (January 1, 2021). Deep Learning and Practice with MindSpore (1st ed.). Springer. p. 412. ISBN 978-9811622359.
^ 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.
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.

External links

[edit]

Huawei Ascend
Ascend P
- P1
- P2
- P6
- P7
Ascend D
- D quad
  - quad XL
- D1
  - 1 XL
- D2
Ascend G
- G6
- G7
- G300
- G312
- G330
- G600
- G750
Ascend Mate
- Mate 2
- Mate 7
W1
W2
Ascend Y300

P/Pura
series

P Smart	P Smart + P Smart 2019 + P Smart Pro P Smart Z P Smart 2020 P Smart S P Smart 2021

Mate
series

Foldable series	X Xs X2 Xs 2 X3 X5 X6 XT Ultimate Design

Nova
series

Huawei Nova & Nova Plus
- lite
  - 2017
  - lite+
  - 2
  - 3
    - 3+
- Smart
- Young
- Youth
2
- 2 Plus
- 2i
- 2 lite
- 2s
3
- 3e
- 3i
4
- 4e
5
- 5 Pro
- 5i
- 5i Pro
- 5T
- 5z
6
- 6 SE
7
- 7 Pro
- 7i
- 7 SE
  - Youth
8
- 8 Pro
- 8 SE
  - Youth
- 8i
9
- 9 SE
10
- 10 Pro
- 10 SE
- 10z
11
- 11 Pro/Ultra
- 11 SE
- 11i
12
- 12 Pro/Ultra
- 12 SE
- 12i
- 12s/12 Lite
13
- 13 Pro
- 13i
Flip
Y9a
Y60
Y61/Y62/Y62 Plus
Y70/Y70 Plus/Y71
Y72
- Y72S
Y90
Y91

G
series

Y
series

Y3 (Y360)
- 3 II
- 2017
- 2018
Y5 (Y560)
- 5c
- 5 II
- 2017
- 2018
  - Prime
  - lite
- 2019
- 5p
Y6
- 6 Pro
- 6 II
  - Compact
- 2017
  - Pro
- 2018
  - Prime
- 2019
  - Prime
  - Pro
- 6s
- 6p
Y7
- 7 Prime
- 2018
  - Prime
  - Pro
- 2019
  - Prime
  - Pro
- 7p
- 7a
Y8
- 8s
- 8p
Y9
- 2018
- 2019
  - Prime
- 9s
- 9a
Y Max
Y625
Y635

Kirin
Kunpeng, Ascend
Atlas
Tiangang (5G)
Balong (modem: 5G/5.5G)

Operating
systems

EulerOS
openEuler
UniProton
NestOS
HarmonyOS
- NEXT
- kernel;
- OpenHarmony
- version history
LiteOS
EMUI
Huawei VRP

Other,
software

👁 Huawei logo

Communication
infrastructure

Services

People

Ren Zhengfei (CEO)
Liang Hua (Chairman)
Sun Yafang (former chairwoman)
Meng Wanzhou (deputy chair & CFO)
Xu Zhijun (deputy chair)

Other

👁 Image
Commons
👁 Image
Category

v t e Deep learning software
Comparison
Open source	Apache MXNet Apache SINGA Caffe Deeplearning4j DeepSpeed Dlib Keras Microsoft Cognitive Toolkit ML.NET OpenNN PyTorch TensorFlow Theano Torch ONNX OpenVINO
Proprietary	Apple Core ML IBM Watson Neural Designer Wolfram Mathematica MATLAB Deep Learning Toolbox
👁 Image Category

v t e Differentiable computing
General	Differentiable programming Information geometry Statistical manifold Automatic differentiation Neuromorphic computing Pattern recognition Ricci calculus Computational learning theory Inductive bias
Hardware	IPU TPU VPU Memristor SpiNNaker
Software libraries	TensorFlow PyTorch Keras scikit-learn Theano JAX Flux.jl
👁 Image Portals Computer programming Technology

Retrieved from "https://en.wikipedia.org/w/index.php?title=MindSpore&oldid=1337366768"

Categories:

Hidden categories:

URL: https://en.wikipedia.org/wiki/MindSpore

⇱ MindSpore - Wikipedia

Overview

History

See also

References

Bibliography

External links