microsoft/onnxscript
Sep 2025 – Oct 2025
2 Months active
Languages Used
Python
Technical Skills
Core MLONNXPyTorchOperator ImplementationRefactoringTensor Operations
deoxy
PROFILE
Deoxy
Lin Sho contributed to microsoft/onnxscript by developing robust improvements to ONNX operator implementations using Python and PyTorch. Over two months, Lin delivered a targeted bug fix in torchlib’s GatherElements, addressing scalar index handling to prevent runtime errors and improve reliability for scalar-index scenarios. Lin also refactored the aten::scatter operator, separating overloads, enhancing type annotations, and adding support for scalar arguments, which clarified ONNX output and improved maintainability. The work included comprehensive updates to unit tests and type hinting, demonstrating a thoughtful approach to operator correctness, code clarity, and downstream model compatibility within the ONNX and PyTorch ecosystem.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
177
Activity Months2
Your Network
31 peopleWork History
October 2025
3 Commits • 1 Features
Oct 1, 2025Month: 2025-10. Focused on delivering robust feature improvements to ONNX export and scatter operation in microsoft/onnxscript, with stronger type robustness, scalar-argument support, and updated test coverage. Result: clearer ONNX output, improved maintainability, and readiness for broader adoption in downstream models.
3 Commits • 1 Features
Oct 1, 2025Month: 2025-10. Focused on delivering robust feature improvements to ONNX export and scatter operation in microsoft/onnxscript, with stronger type robustness, scalar-argument support, and updated test coverage. Result: clearer ONNX output, improved maintainability, and readiness for broader adoption in downstream models.
October 2025
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for microsoft/onnxscript: Delivered a targeted bug fix in torchlib's GatherElements to correctly handle scalar indices, significantly improving correctness and runtime stability of aten_gather across scalar-index scenarios.
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for microsoft/onnxscript: Delivered a targeted bug fix in torchlib's GatherElements to correctly handle scalar indices, significantly improving correctness and runtime stability of aten_gather across scalar-index scenarios.
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Core MLONNXOperator ImplementationPyTorchRefactoringTensor OperationsTestingType HintingUnit Testing
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