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Ov ep docx update 22.2 (#11296)
* Update eps.md * Update OpenVINOExecutionProvider.md * Update OpenVINOExecutionProvider.md
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@ -229,7 +229,7 @@ See more information on the OpenVINO Execution Provider [here](../execution-prov
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### Prerequisites
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{: .no_toc }
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1. Install the Intel<sup>®</sup> Distribution of OpenVINO<sup>TM</sup> Toolkit **Release 2022.1** for the appropriate OS and target hardware:
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1. Install the openvino offline/online installer from Intel<sup>®</sup> Distribution of OpenVINO<sup>TM</sup> Toolkit **Release 2022.1** for the appropriate OS and target hardware:
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* [Linux - CPU, GPU, VPU, VAD-M](https://software.intel.com/en-us/openvino-toolkit/choose-download/free-download-linux)
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* [Windows - CPU, GPU, VPU, VAD-M](https://software.intel.com/en-us/openvino-toolkit/choose-download/free-download-windows).
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@ -243,7 +243,7 @@ See more information on the OpenVINO Execution Provider [here](../execution-prov
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* To configure Intel<sup>®</sup> Movidius<sup>TM</sup> USB, please follow this getting started guide: [Linux](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_linux.html#additional-NCS-steps)
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* To configure Intel<sup>®</sup> Vision Accelerator Design based on 8 Movidius<sup>TM</sup> MyriadX VPUs, please follow this configuration guide: [Windows](https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_windows.html#hddl-myriad), [Linux](https://docs.openvino.ai/2021.4/openvino_docs_install_guides_installing_openvino_linux.html#install-VPU). Follow steps 3 and 4 to complete the configuration.
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3. Initialize the OpenVINO environment by running the setupvars script as shown below:
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3. Initialize the OpenVINO environment by running the setupvars script as shown below. This is a required step:
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* For Linux run till OpenVINO 2021.4 version:
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```
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$ source <openvino_install_directory>/bin/setupvars.sh
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@ -20,8 +20,8 @@ Accelerate ONNX models on Intel CPUs, GPUs and VPUs with ONNX Runtime and the In
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## Install
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Pre-built packages and Docker images are published for ONNX Runtime with OpenVINO by Intel for each release.
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* OpenVINO-EP Release page: [Latest v4.0 Release](https://github.com/intel/onnxruntime/releases)
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* Python wheels: [intel/onnxruntime](https://github.com/intel/onnxruntime/releases)
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* OpenVINO-EP Release page: [Latest v4.0 Release](https://github.com/intel/onnxruntime/releases)
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* Python wheels Ubuntu/Windows: [intel/onnxruntime](https://github.com/intel/onnxruntime/releases)
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* Docker image: [openvino/onnxruntime_ep_ubuntu18](https://hub.docker.com/r/openvino/onnxruntime_ep_ubuntu18)
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## Requirements
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@ -47,6 +47,29 @@ OpenVINO 2022.1.
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## Usage
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**OpenVINO Environment**
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Before running any ort samples(Python/C++/C#) with the OpenVINOExecutionProvider it is must to set up the OpenVINO Environment Variables using the full installer package of OpenVINO.
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Initialize the OpenVINO environment by running the setupvars script as shown below. This is a required step:
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* For Linux run till OpenVINO 2021.4 version:
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```
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$ source <openvino_install_directory>/bin/setupvars.sh
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```
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* For Linux run from OpenVINO 2022.1 version:
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```
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$ source <openvino_install_directory>/setupvars.sh
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```
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* For Windows run till OpenVINO 2021.4 version:
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```
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C:\ <openvino_install_directory>\bin\setupvars.bat
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```
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* For Windows run from OpenVINO 2022.1 version:
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```
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C:\ <openvino_install_directory>\setupvars.bat
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```
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**Note:** If you are using a dockerfile to use OpenVINO-EP, sourcing OpenVINO won't be possible within the dockerfile. You would have to explicitly set the LD_LIBRARY_PATH to point to OpenVINO libraries location. Refer our [dockerfile].(https://github.com/microsoft/onnxruntime/blob/master/dockerfiles/Dockerfile.openvino)
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**C#**
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To use csharp api for openvino execution provider create a custom nuget package. Follow the instructions [here](../build/inferencing.md#build-nuget-packages) to install prerequisites for nuget creation. Once prerequisites are installed follow the instructions to [build openvino](../build/eps.md#openvino) and add an extra flag `--build_nuget` to create nuget packages. Two nuget packages will be created Microsoft.ML.OnnxRuntime.Managed and Microsoft.ML.OnnxRuntime.Openvino.
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