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mingmingtasd

PROFILE

Mingmingtasd

Mingming Xu developed Tile operator support within the microsoft/onnxruntime repository, focusing on the WebNN Execution Provider to expand hardware-accelerated tensor operations. Using C++ and leveraging ONNX Runtime’s extensibility, Mingming integrated the Tile operator path to improve execution efficiency for models with heavy tiling requirements. The implementation reduced reliance on CPU fallback by enabling broader use of WebNN, which can increase throughput on supported devices. The work involved validating the integration for correctness and ensuring readiness for further testing. This contribution deepened the WebNN EP’s operation coverage and demonstrated proficiency in C++, tensor operations, and ONNX Runtime internals.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
109
Activity Months1

Work History

October 2024

1 Commits • 1 Features

Oct 1, 2024

October 2024: Delivered Tile Operator support in the WebNN Execution Provider for ONNX Runtime, expanding hardware-accelerated tensor operations and improving the execution path for tile-heavy models. This work enhances WebNN integration, potentially reducing CPU fallback and increasing throughput on supported devices. PR [WebNN EP] Tile operator ( #22148 ) landed with the following commit: 004bd36f3d4dbaeb2b0ebb8c9c06e91807d4660e.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

C++ONNX RuntimeTensor OperationsWebNN

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

microsoft/onnxruntime

Oct 2024 Oct 2024
1 Month active

Languages Used

C++

Technical Skills

C++ONNX RuntimeTensor OperationsWebNN

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