microsoft/onnxruntime-genai
Nov 2025 – Jan 2026
2 Months active
Languages Used
C++
Technical Skills
AIC++Machine LearningTestingC++ developmentcommand-line argument parsing
mpasumarthi-git
PROFILE
Mpasumarthi-git
Contributed to microsoft/onnxruntime-genai by enhancing the GenAI test suite for the NvTensorRtRtx execution provider, focusing on reliability and integration speed. Developed deterministic tests covering API flow, batch processing, sampling, and out-of-place key-value caching using C++ and machine learning techniques, which improved validation coverage and reduced test flakiness. Later, introduced a configurable model path feature for unit tests, enabling tests to reference non-default model locations via a command-line argument. This addition, implemented through command-line parsing and updates across multiple test files, increased flexibility and reproducibility in continuous integration and local testing scenarios without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
537
Activity Months2
Your Network
1744 peopleSame Organization
@nvidia.com1684
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for microsoft/onnxruntime-genai: Delivered configurable model paths for unit tests, enabling tests to point to non-default model locations via a new --model_path CLI argument. Implemented in unit_tests.exe and reflected across the test suite (test/main.cpp, test/model_tests.cpp, test/sampling_benchmark.cpp, test/sampling_tests.cpp) to use custom paths for NvTensorRT tests. This work follows commit d7f0291d6cd65feb788e46b717550d712c25f78e (Add custom model path support for unit tests via command-line argument) and enhances testing flexibility, reproducibility, and CI resilience by decoupling tests from default model locations.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for microsoft/onnxruntime-genai: Delivered configurable model paths for unit tests, enabling tests to point to non-default model locations via a new --model_path CLI argument. Implemented in unit_tests.exe and reflected across the test suite (test/main.cpp, test/model_tests.cpp, test/sampling_benchmark.cpp, test/sampling_tests.cpp) to use custom paths for NvTensorRT tests. This work follows commit d7f0291d6cd65feb788e46b717550d712c25f78e (Add custom model path support for unit tests via command-line argument) and enhances testing flexibility, reproducibility, and CI resilience by decoupling tests from default model locations.
January 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 — microsoft/onnxruntime-genai: Key feature delivered: GenAI test suite enhancement for NvTensorRtRtx provider. Upgraded to a newer model and added deterministic tests covering API flow, batch size >1, sampling, and out-of-place KV caching, increasing reliability and compatibility. No major bugs fixed this month. Impact: stronger validation, reduced flaky tests, faster integration cycles with NvTensorRtRtx EP. Technologies: deterministic testing, model integration, NvTensorRtRtx, API flow testing, batch processing.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 — microsoft/onnxruntime-genai: Key feature delivered: GenAI test suite enhancement for NvTensorRtRtx provider. Upgraded to a newer model and added deterministic tests covering API flow, batch size >1, sampling, and out-of-place KV caching, increasing reliability and compatibility. No major bugs fixed this month. Impact: stronger validation, reduced flaky tests, faster integration cycles with NvTensorRtRtx EP. Technologies: deterministic testing, model integration, NvTensorRtRtx, API flow testing, batch processing.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
AIC++C++ developmentMachine LearningTestingcommand-line argument parsingunit testing
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