mozilla/onnxruntime
Nov 2024 – Apr 2025
4 Months active
Languages Used
C++CMakePowerShellPythonYAMLAssembly
Technical Skills
C++image processingmachine learningperformance optimizationC++ developmentunit testing
Yi-Hong Lyu
PROFILE
Yi-hong Lyu
Worked on the mozilla/onnxruntime repository, delivering five production-ready features over four months focused on image processing and performance optimization. Developed and optimized C++ kernels for image segmentation and super-resolution, including a DepthToSpace uint8 kernel that improved inference throughput by 25%. Enhanced the CI/CD pipeline by implementing automated Windows OpenVINO validation using Python scripting and CMake configuration, closing platform-specific testing gaps. Introduced a new cubic image resize operator and a saturation checker for AVX2 kernels, improving both functionality and reliability. Prioritized robust unit testing and validation, ensuring each feature was production-ready and aligned with cross-platform deployment requirements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
5
Lines of code
795
Activity Months4
Your Network
4725 peopleSame Organization
@microsoft.com4720
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember
Work History
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for mozilla/onnxruntime focused on feature delivery and quality improvements. Key capabilities added this month include a new Resize operator in cubic mode without antialiasing to enable upsampling with defined scales, along with a CMake option to enable a saturation checker for the ConvSymKernelAvx2 path to improve overflow detection in VPMADDUBSW computations. No critical bugs fixed this month; stability and maintainability improvements were achieved through enhanced validation and testing coverage.
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for mozilla/onnxruntime focused on feature delivery and quality improvements. Key capabilities added this month include a new Resize operator in cubic mode without antialiasing to enable upsampling with defined scales, along with a CMake option to enable a saturation checker for the ConvSymKernelAvx2 path to improve overflow detection in VPMADDUBSW computations. No critical bugs fixed this month; stability and maintainability improvements were achieved through enhanced validation and testing coverage.
April 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for mozilla/onnxruntime: Delivered Windows OpenVINO CI pipeline and related tooling to enhance Windows validation and OpenVINO compatibility. Implemented automated Windows test environment setup and integrated Windows OpenVINO support into the existing CI workflow by updating run_CIs_for_external_pr.py. These changes close Windows-specific validation gaps, accelerate feedback loops for Windows users, and improve overall cross-platform reliability for ONNX Runtime. No major bugs fixed this month; primary focus on building robust CI coverage and ensuring readiness for Windows OpenVINO workloads. Technologies demonstrated include CI/CD automation, Python scripting, Windows environment orchestration, OpenVINO, and ONNX Runtime integration.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for mozilla/onnxruntime: Delivered Windows OpenVINO CI pipeline and related tooling to enhance Windows validation and OpenVINO compatibility. Implemented automated Windows test environment setup and integrated Windows OpenVINO support into the existing CI workflow by updating run_CIs_for_external_pr.py. These changes close Windows-specific validation gaps, accelerate feedback loops for Windows users, and improve overall cross-platform reliability for ONNX Runtime. No major bugs fixed this month; primary focus on building robust CI coverage and ensuring readiness for Windows OpenVINO workloads. Technologies demonstrated include CI/CD automation, Python scripting, Windows environment orchestration, OpenVINO, and ONNX Runtime integration.
January 2025
1 Commits • 1 Features
Jan 1, 2025Month 2025-01: Delivered a high-impact performance optimization for Image Super-Resolution INT8 workloads in mozilla/onnxruntime. Implemented DepthToSpace uint8 kernel, improved FPS by ~25%, enabled graph-level optimization via DropQDQNodesRules, and added robust unit tests. These changes improve inference throughput for production models and streamline optimization workflows.
1 Commits • 1 Features
Jan 1, 2025Month 2025-01: Delivered a high-impact performance optimization for Image Super-Resolution INT8 workloads in mozilla/onnxruntime. Implemented DepthToSpace uint8 kernel, improved FPS by ~25%, enabled graph-level optimization via DropQDQNodesRules, and added robust unit tests. These changes improve inference throughput for production models and streamline optimization workflows.
January 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 focused on delivering performance improvements for ONNX Runtime image segmentation workloads in the mozilla/onnxruntime repository. Implemented a targeted optimization of the transpose path around QLinearSoftmax to reduce bottlenecks in inference, enabling faster segmentation results and better utilization of hardware. The change was captured in a focused commit and validated against representative models to ensure no regressions. No separate bug fixes were recorded this month; the primary impact came from performance gains and improved readiness for production deployment in the next release cycle.
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 focused on delivering performance improvements for ONNX Runtime image segmentation workloads in the mozilla/onnxruntime repository. Implemented a targeted optimization of the transpose path around QLinearSoftmax to reduce bottlenecks in inference, enabling faster segmentation results and better utilization of hardware. The change was captured in a focused commit and validated against representative models to ensure no regressions. No separate bug fixes were recorded this month; the primary impact came from performance gains and improved readiness for production deployment in the next release cycle.
Activity
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Quality Metrics
Correctness100.0%
Maintainability83.4%
Architecture93.4%
Performance90.0%
AI Usage23.4%
Skills & Technologies
Programming Languages
AssemblyC++CMakePowerShellPythonYAML
Technical Skills
Assembly language programmingC++C++ developmentCI/CDCMakeCMake configurationDevOpsPerformance optimizationPythonPython scriptingWindows Developmentimage processingmachine learningperformance optimizationunit testing
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