
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.

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.
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.
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