onnx/onnx
Jul 2025 – Aug 2025
2 Months active
Languages Used
Pythonprotobuf
Technical Skills
Error HandlingNumerical ComputingONNXONNX RuntimeReference ImplementationTesting
konstantin-pueckler-qc
PROFILE
Konstantin-pueckler-qc
Worked on the onnx/onnx repository to enhance the robustness and correctness of core mathematical operations in the ONNX reference and testing suite. Focused on backend development and debugging, the work addressed edge-case handling for operators such as erf, Softplus, HardSigmoid, Hardmax, softmax, and convInteger. Using Python and NumPy, implemented fixes for empty and zero-sized inputs, corrected type casting, and improved integer division semantics. These changes reduced runtime errors, improved test reliability, and strengthened model portability across backends. The approach emphasized thorough testing and careful error handling, ensuring more reliable numerical computing in ONNX’s machine learning workflows.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
7Total
Bugs
2
Commits
7
Features
0
Lines of code
165
Activity Months2
Your Network
75 peopleWork History
August 2025
3 Commits
Aug 1, 2025Month: 2025-08 | Key accomplishments include delivering robustness and correctness improvements to the ONNX reference implementations. Specifically, fixes for edge-case behavior in the softmax operator with empty inputs, corrected integer division semantics, and proper zero-point handling in the convInteger reference path. These changes were implemented via three targeted commits (6a3d1358f8cec7d633d2756f1e97004583eb17ef; 49e479892e98202c8cc726d7c64d2caddc8e6bf7; 6318ddb2ecd4f8dba73c1fb907bc46b425c493bd).
3 Commits
Aug 1, 2025Month: 2025-08 | Key accomplishments include delivering robustness and correctness improvements to the ONNX reference implementations. Specifically, fixes for edge-case behavior in the softmax operator with empty inputs, corrected integer division semantics, and proper zero-point handling in the convInteger reference path. These changes were implemented via three targeted commits (6a3d1358f8cec7d633d2756f1e97004583eb17ef; 49e479892e98202c8cc726d7c64d2caddc8e6bf7; 6318ddb2ecd4f8dba73c1fb907bc46b425c493bd).
August 2025
July 2025
4 Commits
Jul 1, 2025July 2025: Focused on robustness and correctness of core math operations in the ONNX reference/testing suite. Implemented a set of fixes to prevent runtime errors, improve shape/dtype handling, and ensure correct behavior for edge cases (empty or zero-sized inputs, single-element inputs). These changes reduce flaky tests, improve model portability across backends, and strengthen the framework's math correctness.
July 2025
4 Commits
Jul 1, 2025July 2025: Focused on robustness and correctness of core math operations in the ONNX reference/testing suite. Implemented a set of fixes to prevent runtime errors, improve shape/dtype handling, and ensure correct behavior for edge cases (empty or zero-sized inputs, single-element inputs). These changes reduce flaky tests, improve model portability across backends, and strengthen the framework's math correctness.
Activity
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Quality Metrics
Correctness97.2%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Pythonprotobuf
Technical Skills
Backend DevelopmentDebuggingError HandlingMachine LearningNumPyNumerical ComputingONNXONNX RuntimePythonReference ImplementationTestingType Castingnumpyonnx
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