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[WebNN] Support RotaryEmbedding op #23283
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👍 It's a complicated operator, and so I'm not verifying all the logic is accurate (test cases should handle that), but it looks reasonable to me (just a small typo). Glad you included the ASCII art diagram.
onnxruntime/core/providers/webnn/builders/impl/rotaryEmbedding_op_builder.cc
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/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline |
/azp run Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline,Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,Windows ARM64 QNN CI Pipeline,Windows CPU CI Pipeline |
/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline |
/azp run Windows GPU TensorRT CI Pipeline,onnxruntime-binary-size-checks-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,Windows x64 QNN CI Pipeline,Big Models |
Azure Pipelines successfully started running 2 pipeline(s). |
Azure Pipelines successfully started running 3 pipeline(s). |
Azure Pipelines successfully started running 4 pipeline(s). |
Azure Pipelines successfully started running 9 pipeline(s). |
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👍
/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline |
/azp run Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline,Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,Windows ARM64 QNN CI Pipeline,Windows CPU CI Pipeline |
/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline |
/azp run Windows GPU TensorRT CI Pipeline,onnxruntime-binary-size-checks-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,Windows x64 QNN CI Pipeline,Big Models |
Azure Pipelines successfully started running 2 pipeline(s). |
Azure Pipelines successfully started running 3 pipeline(s). |
Azure Pipelines successfully started running 4 pipeline(s). |
Azure Pipelines successfully started running 9 pipeline(s). |
WebNN doesn't provide a dedicated op for RotaryEmbedding. Instead, we implement it by using a combination of WebNN ops. The decomposed graph is referenced from DML EP at: onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorRotaryEmbedding.cpp
/azp run Linux CPU Minimal Build E2E CI Pipeline, MacOS CI Pipeline, MacOS CI Pipeline (MacOS_C_API_Package_Publish MacOS_C_API_Package_Publish), MacOS CI Pipeline (MacOS_C_API_Packaging_CPU MacOS_C_API_Packaging_CPU_x86_64), Windows GPU CUDA CI Pipeline, Windows GPU Doc Gen CI Pipeline |
Azure Pipelines successfully started running 4 pipeline(s). |
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/azp run Win_TRT_Minimal_CUDA_Test_CI |
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👍
/azp run ONNX Runtime Web CI Pipeline,Windows GPU CI Pipeline,Linux Android Emulator QNN CI Pipeline |
/azp run Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline,Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,Windows ARM64 QNN CI Pipeline,Windows CPU CI Pipeline |
/azp run Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline |
/azp run Windows GPU TensorRT CI Pipeline,onnxruntime-binary-size-checks-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,Windows x64 QNN CI Pipeline,Big Models |
Azure Pipelines successfully started running 2 pipeline(s). |
Azure Pipelines successfully started running 3 pipeline(s). |
Azure Pipelines successfully started running 4 pipeline(s). |
Azure Pipelines successfully started running 9 pipeline(s). |
/azp run Win_TRT_Minimal_CUDA_Test_CI |
Azure Pipelines successfully started running 1 pipeline(s). |
WebNN doesn't provide a dedicated op for RotaryEmbedding. Instead, we implement it by using a combination of WebNN ops. The decomposed graph is referenced from DML EP at:
onnxruntime/core/providers/dml/DmlExecutionProvider/src/Operators/DmlOperatorRotaryEmbedding.cpp