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OpenVINO EP ORT 5.1 Branch Changes for the new API to take in OpenVINO Provider Options and compatibility with OV 2023.1 ### Motivation and Context The change is required for the new API to take in OpenVINO Provider Options and make it seamless. --------- Signed-off-by: MaajidKhan <n.maajid.khan@intel.com> Co-authored-by: saurabhintel0 <saurabh1.kale@intel.com> Co-authored-by: MaajidKhan <n.maajid.khan@intel.com> Co-authored-by: Suryaprakash Shanmugam <suryaprakash.shanmugam@intel.com> Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
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67 lines
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OpenVINO™ Execution Provider for ONNX Runtime
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===============================================
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`OpenVINO™ Execution Provider for ONNX Runtime <https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html>`_ is a product designed for ONNX Runtime developers who want to get started with OpenVINO™ in their inferencing applications. This product delivers `OpenVINO™ <https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html>`_ inline optimizations which enhance inferencing performance with minimal code modifications.
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OpenVINO™ Execution Provider for ONNX Runtime accelerates inference across many `AI models <https://github.com/onnx/models>`_ on a variety of Intel® hardware such as:
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- Intel® CPUs
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- Intel® integrated GPUs
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- Intel® discrete GPUs
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- Intel® integrated VPUs
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Installation
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------------
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Requirements
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^^^^^^^^^^^^
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- Ubuntu 18.04, 20.04, RHEL(CPU only) or Windows 10 - 64 bit
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- Python 3.8 or 3.9 or 3.10 for Linux and only Python3.10 for Windows
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This package supports:
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- Intel® CPUs
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- Intel® integrated GPUs
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- Intel® discrete GPUs
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- Intel® integrated VPUs
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``pip3 install onnxruntime-openvino``
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Please install OpenVINO™ PyPi Package separately for Windows.
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For installation instructions on Windows please refer to `OpenVINO™ Execution Provider for ONNX Runtime for Windows <https://github.com/intel/onnxruntime/releases/>`_.
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**OpenVINO™ Execution Provider for ONNX Runtime** Linux Wheels comes with pre-built libraries of OpenVINO™ version 2023.0.0 eliminating the need to install OpenVINO™ separately. The OpenVINO™ libraries are prebuilt with CXX11_ABI flag set to 0.
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For more details on build and installation please refer to `Build <https://onnxruntime.ai/docs/build/eps.html#openvino>`_.
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Usage
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^^^^^
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By default, Intel® CPU is used to run inference. However, you can change the default option to either Intel® integrated or discrete GPU.
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Invoke `the provider config device type argument <https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html#summary-of-options>`_ to change the hardware on which inferencing is done.
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For more API calls and environment variables, see `Usage <https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html#configuration-options>`_.
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Samples
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^^^^^^^^
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To see what you can do with **OpenVINO™ Execution Provider for ONNX Runtime**, explore the demos located in the `Examples <https://github.com/microsoft/onnxruntime-inference-examples/tree/main/python/OpenVINO_EP>`_.
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License
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^^^^^^^^
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**OpenVINO™ Execution Provider for ONNX Runtime** is licensed under `MIT <https://github.com/microsoft/onnxruntime/blob/main/LICENSE>`_.
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By contributing to the project, you agree to the license and copyright terms therein
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and release your contribution under these terms.
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Support
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^^^^^^^^
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Please submit your questions, feature requests and bug reports via `GitHub Issues <https://github.com/microsoft/onnxruntime/issues>`_.
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How to Contribute
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^^^^^^^^^^^^^^^^^^
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We welcome community contributions to **OpenVINO™ Execution Provider for ONNX Runtime**. If you have an idea for improvement:
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* Share your proposal via `GitHub Issues <https://github.com/microsoft/onnxruntime/issues>`_.
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* Submit a `Pull Request <https://github.com/microsoft/onnxruntime/pulls>`_.
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