Metadata-Version: 2.1
Name: onnxruntime-openvino
Version: 1.17.1
Summary: ONNX Runtime is a runtime accelerator for Machine Learning models
Home-page: https://onnxruntime.ai
Download-URL: https://github.com/microsoft/onnxruntime/tags
Author: Microsoft Corporation
Author-email: onnxruntime@microsoft.com
License: MIT License
Keywords: onnx machine learning
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Requires-Dist: coloredlogs
Requires-Dist: flatbuffers
Requires-Dist: numpy >=1.26.4
Requires-Dist: packaging
Requires-Dist: protobuf
Requires-Dist: sympy

OpenVINO™ Execution Provider for ONNX Runtime
===============================================

`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.

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:
 - Intel® CPUs
 - Intel® integrated GPUs
 - Intel® discrete GPUs

Installation
------------

Requirements
^^^^^^^^^^^^

- Ubuntu 20.06, or Windows 10 - 64 bit
- Python 3.9,3.10,3,11 for Linux and Python3.10 and Python 3.11 for Windows
- OpenVINO 2023.3.0 Version only

This package supports:
 - Intel® CPUs
 - Intel® integrated GPUs
 - Intel® discrete GPUs

``pip3 install onnxruntime-openvino``

Please install OpenVINO™ PyPi Package separately for Windows.
For installation instructions on Windows please refer to  `OpenVINO™ Execution Provider for ONNX Runtime for Windows <https://github.com/intel/onnxruntime/releases/>`_.

**OpenVINO™ Execution Provider for ONNX Runtime** Linux Wheels comes with pre-built libraries of OpenVINO™ version 2023.3.0 eliminating the need to install OpenVINO™ separately. The OpenVINO™ libraries are prebuilt with CXX11_ABI flag set to 0.

For more details on build and installation please refer to `Build <https://onnxruntime.ai/docs/build/eps.html#openvino>`_.

Usage
^^^^^

By default, Intel® CPU is used to run inference. However, you can change the default option to either Intel® integrated or discrete GPU.
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.

For more API calls and environment variables, see  `Usage <https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html#configuration-options>`_.

Samples
^^^^^^^^

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>`_.

License
^^^^^^^^

**OpenVINO™ Execution Provider for ONNX Runtime** is licensed under `MIT <https://github.com/microsoft/onnxruntime/blob/main/LICENSE>`_.
By contributing to the project, you agree to the license and copyright terms therein
and release your contribution under these terms.

Support
^^^^^^^^

Please submit your questions, feature requests and bug reports via   `GitHub Issues <https://github.com/microsoft/onnxruntime/issues>`_.

How to Contribute
^^^^^^^^^^^^^^^^^^

We welcome community contributions to **OpenVINO™ Execution Provider for ONNX Runtime**. If you have an idea for improvement:

* Share your proposal via  `GitHub Issues <https://github.com/microsoft/onnxruntime/issues>`_.
* Submit a  `Pull Request <https://github.com/microsoft/onnxruntime/pulls>`_.
