PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎)
Role in this project:
Back-end Developer & Performance Engineer
Contributions:16 reviews, 31 commits, 66 PRs in 2 months
Contributions summary:张文 primarily worked on enhancing the PaddlePaddle Lite deep learning inference engine, focusing on adding support for i32 data types and implementing element-wise operations on the ARM platform. They refactored ARM kernel code, specifically within ElementwiseAddCompute and ElementwiseSubCompute, and introduced template-based implementations for improved flexibility. Additionally, the user contributed to the integration of the `pow` operator, including its ARM kernel, demonstrating a focus on expanding the engine's capabilities and improving its performance.
A fully customizable pybind11 generator to help generate code for exsiting c/c++ library.
Contributions:8 releases, 1 PR, 49 pushes in 1 year 11 months
bindingcppexportfull-automatedgenerator
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