
Worked on the alibaba/MNN repository to deliver a new 4-bit integer convolution acceleration path by introducing the KleidiAIConvInt8 class, focusing on efficient integration with existing machine learning acceleration features. Addressed correctness and stability issues in convolution modules by refining output dimension calculations, improving memory management, and updating the SME quantization kernel. Refactored code to standardize input and output formats to NHWC, enhancing cross-module compatibility and predictability. Utilized C and C++ for low-level backend development, leveraging ARM NEON for CPU optimization. Improved test reliability and build stability, enabling faster iteration and more robust performance in embedded AI systems.
July 2025 monthly summary for alibaba/MNN focusing on KleidiAI integration and code maintenance. This month delivered a new 4-bit integer convolution acceleration path and reinforced stability of the KleidiAI integration, along with code-maintenance work to standardize data layouts and fix test/build issues.
July 2025 monthly summary for alibaba/MNN focusing on KleidiAI integration and code maintenance. This month delivered a new 4-bit integer convolution acceleration path and reinforced stability of the KleidiAI integration, along with code-maintenance work to standardize data layouts and fix test/build issues.

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