microsoft/onnxscript
Sep 2025 – Oct 2025
2 Months active
Languages Used
Python
Technical Skills
Core MLONNXPyTorchOperator ImplementationRefactoringTensor Operations
deoxy
PROFILE
Deoxy
Worked on the microsoft/onnxscript repository, focusing on improving operator implementations and robustness in PyTorch-based ONNX export workflows. Delivered a targeted bug fix in torchlib’s GatherElements, addressing scalar index handling by introducing unsqueeze and squeeze operations to ensure correct tensor behavior and prevent runtime errors. Subsequently, developed feature enhancements for aten::scatter, including separating overload implementations, refining type annotations, and adding support for scalar arguments. Updated unit tests to cover new behaviors and clarified ONNX output, contributing to improved maintainability and reliability. Utilized Python, ONNX, and Core ML, with an emphasis on type hinting, refactoring, and comprehensive testing practices.
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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