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IEEE 2941.2-2023

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IEEE Standard for Application Programming Interfaces (APIs) for Deep Learning (DL) Inference Engines

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New IEEE Standard - Active. A set of application programming interfaces (APIs) that is aimed at breaking down the barriers between different deep learning (DL) inference engines and applications is defined in this standard. 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.
This standard defines a set of application programming interfaces (APIs) for use with different deep learning (DL) inference engines. The interfaces include parameter reading, model compilation optimization, operator registration, thread management, input/output data acquisition, inference instance creation, and inference execution.
This standard defines efficient APIs for model management, device management, input/output, and inference that break down the barriers between different DL inference engines and applications. The target DL applications include natural language processing, image classification, and object detection.

SDO IEEE: Institute of Electrical and Electronics Engineers
Document Number 2941.2
Publication Date Nov. 22, 2023
Language en - English
Page Count 31
Revision Level
Supercedes
Committee Data Compression Standards Committee
Publish Date Document Id Type View
Nov. 22, 2023 2941.2-2023 Revision