Unified OV compile_model API in OVEP #20700
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/azp run Linux OpenVINO CI Pipeline |
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Azure Pipelines successfully started running 1 pipeline(s). |
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/azp run Linux QNN CI Pipeline,MacOS CI Pipeline,orttraining-amd-gpu-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,onnxruntime-binary-size-checks-ci-pipeline,Big Models,Android CI Pipeline, Linux Android Emulator QNN CI Pipeline |
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/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline,Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline |
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Azure Pipelines successfully started running 10 pipeline(s). |
1 similar comment
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Azure Pipelines successfully started running 10 pipeline(s). |
jywu-msft
approved these changes
May 20, 2024
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Description
Have a unified API in OVEP that pass the ONNX graph proto from ORT to OV for compilation
Motivation and Context
The earlier implementation used two different flows when onnx model path is present vs model laoded from memory.
The former directly passed the onnx model path to OV when the graph is fully supported by EP. While the latter pass the ORT model proto to OV.
This cause a difference in results when ORT optimizations are enabled. This PR address this issue.