Samsung/ONE
Apr 2025 – Sep 2025
5 Months active
Languages Used
CC++Pythonlst
Technical Skills
C++Deep LearningEmbedded SystemsMachine LearningModel CompilationModel Optimization
seockho-kim
PROFILE
Seockho-kim
Contributed to the Samsung/ONE repository by developing and optimizing backend and compiler features for deep learning model deployment. Over five months, delivered enhancements such as expanded operator and tensor support in ONERT, boolean input handling for Gather, and a new Round kernel in the luci-interpreter. Applied C++ and Python to refactor backend output logic, improve error handling, and implement graph optimizations like FuseMulWithRmsNorm, reducing graph complexity and improving runtime performance. Emphasized robust unit testing and maintainability, integrating new features with comprehensive validation across TensorFlow Lite workflows to support broader model compatibility and reliable inference in embedded environments.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
13Total
Bugs
1
Commits
13
Features
6
Lines of code
1,527
Activity Months5
Your Network
219 peopleWork History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary focusing on the enhancement of boolean input support for the Gather operation in ONERT backend, with targeted testing to ensure correctness and robustness. This work aligns with ongoing efforts to broaden model compatibility and improve backend reliability in Samsung/ONE. Commit reference 084171499a18e16dd3b3e5601d83e032a413144e demonstrates the change and intent, accompanying the feature delivery (#16044).
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary focusing on the enhancement of boolean input support for the Gather operation in ONERT backend, with targeted testing to ensure correctness and robustness. This work aligns with ongoing efforts to broaden model compatibility and improve backend reliability in Samsung/ONE. Commit reference 084171499a18e16dd3b3e5601d83e032a413144e demonstrates the change and intent, accompanying the feature delivery (#16044).
September 2025
August 2025
5 Commits • 1 Features
Aug 1, 20252025-08 Samsung/ONE monthly summary focused on delivering Fuse Mul with RmsNorm optimization. Implemented a fusion of Mul with a preceding RmsNorm when the RmsNorm gamma is 1.0, introducing a new optimization pass, a compiler CLI option to enable the fusion, and comprehensive tests and test recipes validating the fusion across TensorFlow Lite and circle2circle workflows. This work reduces graph complexity, improves runtime performance, and broadens deployment readiness across model conversion and inference pipelines.
August 2025
5 Commits • 1 Features
Aug 1, 20252025-08 Samsung/ONE monthly summary focused on delivering Fuse Mul with RmsNorm optimization. Implemented a fusion of Mul with a preceding RmsNorm when the RmsNorm gamma is 1.0, introducing a new optimization pass, a compiler CLI option to enable the fusion, and comprehensive tests and test recipes validating the fusion across TensorFlow Lite and circle2circle workflows. This work reduces graph complexity, improves runtime performance, and broadens deployment readiness across model conversion and inference pipelines.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly performance summary for Samsung/ONE: Delivered new Round kernel to luci-interpreter and fixed Python session error handling to improve runtime reliability and debuggability. The changes include kernel definition, build registration, and tests for rounding behavior, plus a fix to raise OnertError with a descriptive message and the original exception when updating input tensor information fails. Key outcomes include expanded numeric capabilities in the Luci interpreter, improved error messaging for session failures, and reinforced build/test coverage to ensure stability across releases. These efforts support broader model compatibility and faster issue resolution for downstream teams.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly performance summary for Samsung/ONE: Delivered new Round kernel to luci-interpreter and fixed Python session error handling to improve runtime reliability and debuggability. The changes include kernel definition, build registration, and tests for rounding behavior, plus a fix to raise OnertError with a descriptive message and the original exception when updating input tensor information fails. Key outcomes include expanded numeric capabilities in the Luci interpreter, improved error messaging for session failures, and reinforced build/test coverage to ensure stability across releases. These efforts support broader model compatibility and faster issue resolution for downstream teams.
July 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for Samsung/ONE focusing on backend output handling improvements and maintainability.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for Samsung/ONE focusing on backend output handling improvements and maintainability.
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for Samsung/ONE: Delivered major feature expansions to ONERT and StridedSlice, broadening operator coverage and tensor support to enable more models and robust deployments. Emphasized test coverage and maintainability, setting the stage for future performance and capability enhancements.
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for Samsung/ONE: Delivered major feature expansions to ONERT and StridedSlice, broadening operator coverage and tensor support to enable more models and robust deployments. Emphasized test coverage and maintainability, setting the stage for future performance and capability enhancements.
April 2025
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Quality Metrics
Correctness97.0%
Maintainability95.4%
Architecture92.4%
Performance83.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Pythonlst
Technical Skills
API DevelopmentBackend DevelopmentC++Code RefactoringCompiler DevelopmentCompiler OptimizationDeep LearningEmbedded SystemsError HandlingGraph TransformationInterpreter DevelopmentKernel DevelopmentMachine LearningModel CompilationModel Optimization
Repositories Contributed To
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