mozilla/onnxruntime
Apr 2025 – Apr 2025
1 Month active
Languages Used
C++
Technical Skills
C++ developmentmachine learningperformance optimization
Ningxin Hu
PROFILE
Ningxin Hu
Ningxin Hu contributed targeted engineering improvements to mozilla/onnxruntime and mozilla/gecko-dev over a two-month period. In onnxruntime, Ningxin implemented in-memory external data support for TensorProto within the DirectML Execution Provider using C++, enabling the use of existing memory buffers for tensor data and improving memory efficiency in ModelEditor workflows. In gecko-dev, Ningxin enforced uint8 input type validation for WebNN logical operations, adding comprehensive JavaScript-based tests to ensure type safety and correct behavior. These changes enhanced resource utilization, runtime efficiency, and reliability for machine learning and web platform features, demonstrating depth in C++ development, API validation, and performance optimization.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
90
Activity Months2
Your Network
2463 people
Work History
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary: Delivered enforcement of uint8 input type for WebNN logical operations (logicalAnd, logicalOr, logicalXor) in mozilla/gecko-dev, with a test covering opSupportLimits to ensure type safety and correct behavior. The change, associated with Bug 1972218 and WPT PR 53144, strengthens input validation and test coverage for WebNN.
1 Commits
Jun 1, 2025June 2025 monthly summary: Delivered enforcement of uint8 input type for WebNN logical operations (logicalAnd, logicalOr, logicalXor) in mozilla/gecko-dev, with a test covering opSupportLimits to ensure type safety and correct behavior. The change, associated with Bug 1972218 and WPT PR 53144, strengthens input validation and test coverage for WebNN.
June 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for mozilla/onnxruntime: Delivered a targeted feature improvement to the DirectML Execution Provider by adding in-memory external data support for TensorProto. This enables DirectML to utilize existing memory buffers for tensor data, reducing memory footprint and improving data locality for ModelEditor workflows. The change enhances resource efficiency and supports larger models and higher-throughput scenarios in production deployments.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for mozilla/onnxruntime: Delivered a targeted feature improvement to the DirectML Execution Provider by adding in-memory external data support for TensorProto. This enables DirectML to utilize existing memory buffers for tensor data, reducing memory footprint and improving data locality for ModelEditor workflows. The change enhances resource efficiency and supports larger models and higher-throughput scenarios in production deployments.
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JavaScript
Technical Skills
API ValidationC++ developmentJavaScriptWeb Platform Testingmachine learningperformance optimization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
mozilla/gecko-dev
Jun 2025 – Jun 2025
1 Month active
Languages Used
JavaScript
Technical Skills
API ValidationJavaScriptWeb Platform Testing