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### Description This PR is includes changes in the documentation of _readmeOV.rst_ file and also the changes in the dockerfile which enables to build ORT with latest OpenVINO 2023.0.0 ### Motivation and Context Modified the dockerfile to incorporate the latest version of OpenVINO (2023.0.0) for building Onnxruntime. The changes in the PR aim to improve the overall user experience by providing accurate and up-to-date documentation while leveraging latest OpenVINO 2023.0.0
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65 lines
3.2 KiB
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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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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, 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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``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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