microsoft/onnxscript
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
ONNXOperator ImplementationPyTorch
Andrew Gardner
PROFILE
Andrew Gardner
Developed ONNX export support for torch.unique within the microsoft/onnxscript repository, enabling seamless conversion of PyTorch’s unique element-finding operations to the ONNX format. This work involved implementing new operator mappings—aten__unique, aten__unique2, and aten_unique_dim—to ONNX’s Unique operator, directly addressing a community issue and reducing the need for manual post-processing during model export. The feature was integrated into the ONNX export pipeline, with updates to both testing and documentation to ensure reliability and clarity. The project demonstrated proficiency in Python, ONNX, and PyTorch, and contributed to improved model portability and deployment options for users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
134
Activity Months1
Your Network
21 peopleWork History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for microsoft/onnxscript: Key feature delivered: ONNX export support for PyTorch's torch.unique. Implemented aten__unique, aten__unique2, and aten_unique_dim to map to ONNX op.Unique, enabling exporting PyTorch's unique element finding to ONNX and addressing a GitHub issue. No major bugs fixed this month. Overall impact: improves model portability and deployment by enabling seamless export of unique operations to ONNX, reducing manual post-processing and widening deployment options. Technical accomplishments: extended the ONNX export backend with new ops, integrated with the export pipeline, and added documentation; commit 4c1cda2865783cf6b0d028100c993066d46295b5 ('Add unique op (#1547)'). Technologies demonstrated: Python, PyTorch, ONNX, and contributions to open-source tooling; testing and documentation updates.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for microsoft/onnxscript: Key feature delivered: ONNX export support for PyTorch's torch.unique. Implemented aten__unique, aten__unique2, and aten_unique_dim to map to ONNX op.Unique, enabling exporting PyTorch's unique element finding to ONNX and addressing a GitHub issue. No major bugs fixed this month. Overall impact: improves model portability and deployment by enabling seamless export of unique operations to ONNX, reducing manual post-processing and widening deployment options. Technical accomplishments: extended the ONNX export backend with new ops, integrated with the export pipeline, and added documentation; commit 4c1cda2865783cf6b0d028100c993066d46295b5 ('Add unique op (#1547)'). Technologies demonstrated: Python, PyTorch, ONNX, and contributions to open-source tooling; testing and documentation updates.
March 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
ONNXOperator ImplementationPyTorch
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