pytorch/executorch
Mar 2025 – Apr 2025
2 Months active
Languages Used
Python
Technical Skills
PyTorchbackend developmentunit testingPythontensor operationstesting
Maddy Dunn
PROFILE
Maddy Dunn
Madeleine Dunn contributed to the pytorch/executorch repository by implementing CEIL and ERF operators for the Arm backend over a two-month period. She developed the CEIL operator, refactored the test suite to ensure comprehensive coverage, and maintained compatibility with existing unary operations. In the following month, she delivered the ERF operator, integrating it into operator tables and registering the node visitor, accompanied by extensive tests across diverse input scenarios. Her work focused on backend development, tensor operations, and test-driven development using Python and PyTorch, resulting in improved operator support and reliability for Arm-based model inference without reported bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
350
Activity Months2
Your Network
786 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — Key feature delivered: Arm backend ERF operator for executorch, including registration of the ERF node visitor, integration into operator tables, and comprehensive tests across input scenarios. Commit reference: 0efdb918233186f9c4b20a326ea5dbff5f205d52 (Arm backend: Add ERF operator (#9836)).
1 Commits • 1 Features
Apr 1, 2025April 2025 — Key feature delivered: Arm backend ERF operator for executorch, including registration of the ERF node visitor, integration into operator tables, and comprehensive tests across input scenarios. Commit reference: 0efdb918233186f9c4b20a326ea5dbff5f205d52 (Arm backend: Add ERF operator (#9836)).
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: Delivered Arm Backend CEIL Operator Support in pytorch/executorch, expanding unary operation coverage on the Arm backend. Implemented the CEIL operator and refactored tests to accommodate the new operator, ensuring comprehensive testing coverage. No major bugs reported this month; focus was on feature delivery and quality assurance. Impact: enables Arm-based deployments with accurate CEIL computation, improving model inference reliability and hardware utilization. Technologies/skills demonstrated: Arm backend integration, operator implementation, test-driven development, and code quality with a focused PR (#9267).
March 2025
1 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: Delivered Arm Backend CEIL Operator Support in pytorch/executorch, expanding unary operation coverage on the Arm backend. Implemented the CEIL operator and refactored tests to accommodate the new operator, ensuring comprehensive testing coverage. No major bugs reported this month; focus was on feature delivery and quality assurance. Impact: enables Arm-based deployments with accurate CEIL computation, improving model inference reliability and hardware utilization. Technologies/skills demonstrated: Arm backend integration, operator implementation, test-driven development, and code quality with a focused PR (#9267).
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PyTorchPythonbackend developmenttensor operationstestingunit testing
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