OpenVINO Execution Provider for OnnxRuntime 5.0

Description:
OpenVINO™ Execution Provider For ONNXRuntime v5.0 Release based on the latest OpenVINO™ 2023.0 Release and OnnxRuntime 1.15 Release.

For all the latest information, Refer to our official documentation:
https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html

Announcements:

1. OpenVINO™ version upgraded to 2023.0.0. This provides functional bug fixes, and capability changes from the previous 2022.3.0 release.
2. This release supports ONNXRuntime 1.15 with the latest OpenVINO™ 2023.0 release.
3. Hassle free user experience for OVEP Python developers on windows platform. Just PIP install is all you required on windows now.
4. Complete full model support for stable Diffusion with dynamic shapes on CPU/GPU.
5. Improved FIL with custom OpenVINO API for model loading.
6. Model caching is now generic across all accelerators. Kernel caching is enabled for partially supported models.

Please refer to the OpenVINO™ Execution Provider For ONNXRuntime build instructions for information on system pre-requisites as well as instructions to build from source.
https://onnxruntime.ai/docs/build/eps.html#openvino

Samples:
https://github.com/microsoft/onnxruntime-inference-examples

Python Package:
https://pypi.org/project/onnxruntime-openvino/

Installation and usage Instructions on Windows:

  pip install onnxruntime-openvino
  pip install openvino
  
 <Add these 2 lines in the application code>

 import onnxruntime.tools.add_openvino_win_libs as utils
 utils.add_openvino_libs_to_path()

ONNXRuntime APIs usage:
Please refer to the link below for Python/C++ APIs:
https://onnxruntime.ai/docs/execution-providers/OpenVINO-ExecutionProvider.html#configuration-options