A set of operator interfaces frequently used in artificial intelligence (AI) applications is defined in this standard, where the AI operators refer to the standard building blocks and primitives for performing basic AI operations. The functionality and the specific input and output operands of an AI operator are discussed, as well as both generality and efficiency. Various types of operators, such as those related to basic mathematics, neural network, and machine learning, are highlighted.
- Sponsor Committee
- C/DC - Data Compression Standards Committee
- Status
- Active Standard
- PAR Approval
- 2021-03-25
- Board Approval
- 2022-11-08
- History
-
- Published:
- 2023-03-24
Working Group Details
- Society
- IEEE Computer Society
Learn More About IEEE Computer Society - Sponsor Committee
- C/DC - Data Compression Standards Committee
- Working Group
-
AIM - AI Model Representation, Compression, Distribution and Management
Learn More About AIM - AI Model Representation, Compression, Distribution and Management - IEEE Program Manager
- Meng Zhao
Contact Meng Zhao - Working Group Chair
- Yonghong Tian
Other Activities From This Working Group
Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.
P2941.2
IEEE Draft Standard for Application Programming Interface (API) of Deep Learning Inference Engine
A set of application program interfaces (APIs) is defined in this standard, which is aimed at breaking down the barriers between different deep learning inference engines and applications. The APIs are comprised of functional interfaces including parameter reading, model compilation optimization, operator registration, thread management, input/output data acquisition, inference instance creation and inference execution.
Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.
2941-2021
IEEE Standard for Artificial Intelligence (AI) Model Representation, Compression, Distribution, and Management
The AI development interface, AI model interoperable representation, coding format, and model encapsulated format for efficient AI model inference, storage, distribution, and management are discussed in this standard.
These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.
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These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.
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