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
Konstantin Pueckler focused on enhancing the robustness and correctness of mathematical operations within the onnx/onnx repository over a two-month period. He addressed edge-case failures in core operators by refining error handling, type casting, and shape management, particularly for empty or single-element inputs. Using Python and NumPy, Konstantin delivered targeted bug fixes for operators such as erf, Softplus, HardSigmoid, Hardmax, and softmax, ensuring consistent behavior across diverse input scenarios. His work improved the reliability and portability of ONNX reference implementations, strengthened test coverage for regression safety, and reduced the risk of runtime errors in production and cross-backend environments.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
7Total
Bugs
2
Commits
7
Features
0
Lines of code
165
Activity Months2
Your Network
46 people
Work 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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