PaddlePaddle/Paddle2ONNX
Feb 2025 – Feb 2025
1 Month active
Languages Used
BatchC++PythonShell
Technical Skills
Activation FunctionsAttribute HandlingBuild SystemBuild SystemsC++C++ Development
risemeup1
PROFILE
Risemeup1
During February 2025, this developer enhanced the PaddlePaddle/Paddle2ONNX repository by delivering PyTorch support, enabling seamless conversion of Paddle models to ONNX for broader interoperability. They approached the project with a focus on stability, addressing two major batches of bugs across multiple modules and refining cross-module behavior. Their work involved C++ and Python, leveraging skills in model conversion, operator mapping, and CI/CD to strengthen release reliability. By expanding testing coverage and improving code quality, they reduced the need for post-release hotfixes. The depth of their contributions accelerated deployment workflows and improved production runtime stability for ONNX-enabled ecosystems.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
30Total
Bugs
2
Commits
30
Features
1
Lines of code
2,486
Activity Months1
Your Network
8 people
Work History
February 2025
30 Commits • 1 Features
Feb 1, 2025February 2025 — Paddle2ONNX: Key delivery and stability improvements. Delivered PyTorch (PT) support, stabilized cross-module behavior with two major bug-fix batches, and strengthened testing/CI to improve release reliability. This work enhances interoperability with PyTorch tooling, reduces runtime issues in production, and accelerates deployment of Paddle models to ONNX-enabled ecosystems.
30 Commits • 1 Features
Feb 1, 2025February 2025 — Paddle2ONNX: Key delivery and stability improvements. Delivered PyTorch (PT) support, stabilized cross-module behavior with two major bug-fix batches, and strengthened testing/CI to improve release reliability. This work enhances interoperability with PyTorch tooling, reduces runtime issues in production, and accelerates deployment of Paddle models to ONNX-enabled ecosystems.
February 2025
Activity
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Quality Metrics
Correctness80.4%
Maintainability82.0%
Architecture75.0%
Performance66.4%
AI Usage21.4%
Skills & Technologies
Programming Languages
BatchC++PythonShell
Technical Skills
Activation FunctionsAttribute HandlingBuild SystemBuild SystemsC++C++ DevelopmentCI/CDCode CleanupCode MaintenanceCode RefactoringIR ParsingModel ConversionONNXONNX ConversionONNX Runtime
Repositories Contributed To
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