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[VitisAI] Translate all session configs into provider options with prefix #21907
[VitisAI] Translate all session configs into provider options with prefix #21907
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@microsoft-github-policy-service agree company="Advanced Micro Devices, Inc." |
/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline |
/azp run Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,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 |
/azp run Big Models,Linux Android Emulator QNN CI Pipeline,Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline |
Azure Pipelines successfully started running 5 pipeline(s). |
Azure Pipelines successfully started running 10 pipeline(s). |
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Azure Pipelines successfully started running 10 pipeline(s). |
/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline |
/azp run Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,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 |
/azp run Big Models,Linux Android Emulator QNN CI Pipeline,Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline |
Azure Pipelines successfully started running 10 pipeline(s). |
Azure Pipelines successfully started running 5 pipeline(s). |
Azure Pipelines successfully started running 10 pipeline(s). |
https://github.com/microsoft/onnxruntime/actions/runs/10698900556/job/29678983177?pr=21907 |
/azp run Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,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 |
Azure Pipelines successfully started running 10 pipeline(s). |
@chenduan-amd, Please fix python format using lintrunner:
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/azp run Linux OpenVINO CI Pipeline |
Azure Pipelines successfully started running 1 pipeline(s). |
/azp run Linux OpenVINO CI Pipeline |
Azure Pipelines successfully started running 1 pipeline(s). |
/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline |
/azp run Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,orttraining-amd-gpu-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,onnxruntime-binary-size-checks-ci-pipeline |
/azp run Big Models,Linux Android Emulator QNN CI Pipeline,Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline |
Azure Pipelines successfully started running 10 pipeline(s). |
Azure Pipelines successfully started running 5 pipeline(s). |
Azure Pipelines successfully started running 9 pipeline(s). |
#22096 replaces this PR, correct? |
Description
We need to translate all session configs into provider options, prefix with ort_session_config, so that we can pass ORT session options to VAIP
Motivation and Context
Based on this PR(#21781), we need to provide a comprehensive interface to handle both session_configs and provider_options together. To achieve this, we use prefixes on the onnxruntime side to differentiate between the two.