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### Description Add OVEP features for 1.19 The PR has, - Added support for EpCtx with ORT Session options for optimized performance. - Added bug fixes - Support for OV 2024.3 --------- Co-authored-by: ubuntu <ubuntu@ubuntu-mtlp-118727.iind.intel.com> Co-authored-by: vthaniel <vishnudas.thaniel.s@intel.com> Co-authored-by: sfatimar <sahar.fatima@intel.com> Co-authored-by: saurabhkale17 <saurabh1.kale@intel.com> Co-authored-by: Maheshkar <ankit.maheshkar@intel.com>
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67 lines
3.3 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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- Intel® integrated NPUs (Windows only)
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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 3.9 or 3.10 or 3.11 for Linux and Python 3.10, 3.11 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 NPUs (Windows only)
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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 2024.1.0 eliminating the need to install OpenVINO™ separately.
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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 GPU, discrete GPU, integrated NPU (Windows only).
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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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