microsoft/onnxscript
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
ONNXOperator ImplementationPyTorch
Andrew Gardner
PROFILE
Andrew Gardner
In March 2025, Abg010 developed ONNX export support for PyTorch’s torch.unique operation in the microsoft/onnxscript repository. By implementing the aten__unique, aten__unique2, and aten_unique_dim operators and mapping them to ONNX’s Unique op, Abg010 enabled seamless export of unique element-finding functionality from PyTorch to ONNX. This work, completed in Python and leveraging deep knowledge of ONNX and operator implementation, addressed a key GitHub issue and reduced the need for manual post-processing during model deployment. The integration into the ONNX export pipeline, along with thorough documentation and testing, demonstrated a focused and technically sound engineering approach.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
134
Activity Months1
Your Network
13 people
Work 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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