Active PAR


Standard for Application Programming Interface (API) of Deep Learning Inference Engine

This standard defines a set of application programming interfaces (APIs) that can be used on different deep learning inference engines. The interfaces include parameter reading, model compilation optimization, operator registration, thread management, input/output data acquisition, inference instance creation and inference execution.

Sponsor Committee
C/DC - Data Compression Standards Committee
Active PAR
PAR Approval

Working Group Details

IEEE Computer Society
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Sponsor Committee
C/DC - Data Compression Standards Committee
Working Group
AIM - AI Model Representation, Compression, Distribution and Management
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IEEE Program Manager
Meng Zhao
Working Group Chair
Yonghong Tian


IEEE Draft Standard for Operator Interfaces of Artificial Intelligence

This standard defines a set of operator interfaces frequently found in artificial intelligence (AI) applications, where the AI operators refer to the standard building blocks and primitives for performing basic AI operations. It defines the functionality and the specific input and output operands of an AI operator. It takes into account both generality and efficiency, and covers various types of operators, such as those related to basic mathematics, neural network, and machine learning.

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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.

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No Superseded Standards
No Inactive-Withdrawn Standards
No Inactive-Reserved Standards

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