GB/T 48073-2026Artificial intelligence - Functional requirements of deep learning framework (English PDF)

GB/T 48073-2026 is the English-translated version of 人工智能 深度学习框架功能要求.

This standard sets out functional requirements for deep learning frameworks in the field of artificial intelligence. A deep learning framework is the software layer that developers use to build, train and run neural network models, and the standard describes what functions such a framework is expected to provide.

It is relevant to developers and maintainers of deep learning frameworks, AI platform and service providers, enterprises that choose frameworks for their projects, testing and evaluation organizations, and procurement teams that need a common reference for comparing frameworks. Researchers and engineers outside China who follow the Chinese AI ecosystem may also use it to understand how frameworks are described there.

The document was issued on 28 August 2026 and takes effect on 1 December 2026. It is a recommended national standard (GB/T), so it is voluntary unless cited in a contract, tender or other binding document.

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 15 pages — is available in the English PDF.

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