sony/model_optimization
Jul 2025 – Jul 2025
1 Month active
Languages Used
C++HTMLPythonRSTrst
Technical Skills
API DesignDocumentationModel QuantizationONNX ExportPyTorchSphinx
ariell
PROFILE
Ariell
Worked on the sony/model_optimization repository to enhance model deployment workflows by stabilizing the Model Compression Toolkit and expanding ONNX export capabilities. Addressed toolkit initialization and configuration to reduce drift and ensure compatibility, releasing a maintenance update with no user-facing changes. Developed a feature allowing custom output names during ONNX export, improving flexibility for downstream inference integration. Implemented robust error handling and ensured compatibility across quantization formats, using Python and PyTorch for core development. Updated Sphinx-based documentation and examples to guide adoption of new exporter features, supporting clearer model export configurations and smoother onboarding for developers working with model quantization.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
1,176
Activity Months1
Your Network
12 peopleSame Organization
@altair-semi.com1
reuvenpMember
Shared Repositories
11
Emmanuel FerdmanMember
Glenn JocherMember
Hai Victor HabiMember
Itai BermanMember
kawakami-masaki0Member
kenta kawasakiMember
Ofir GordonMember
reuvenpMember
KazunoriSumiyaMember
Work History
July 2025
4 Commits • 1 Features
Jul 1, 2025Month: 2025-07. Focused on stabilizing the model optimization workflow and expanding deployment capabilities. Key activities included a maintenance version bump for the Model Compression Toolkit and a feature addition to ONNX export with customizable output_names. These changes improve stability, reproducibility, and deployment flexibility, with minimal surface area for users and documentation updates to guide adoption.
4 Commits • 1 Features
Jul 1, 2025Month: 2025-07. Focused on stabilizing the model optimization workflow and expanding deployment capabilities. Key activities included a maintenance version bump for the Model Compression Toolkit and a feature addition to ONNX export with customizable output_names. These changes improve stability, reproducibility, and deployment flexibility, with minimal surface area for users and documentation updates to guide adoption.
July 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++HTMLPythonRSTrst
Technical Skills
API DesignDocumentationModel QuantizationONNX ExportPyTorchSphinxTestingVersion Control
Repositories Contributed To
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