ONNX Runtime is a runtime accelerator for Machine Learning models
Project description
OpenVINO™ Execution Provider for ONNX Runtime is a product designed for ONNX Runtime developers who want to get started with OpenVINO™ in their inferencing applications. This product delivers OpenVINO™ inline optimizations which enhance inferencing performance with minimal code modifications.
- OpenVINO™ Execution Provider for ONNX Runtime accelerates inference across many AI models on a variety of Intel® hardware such as:
Intel® CPUs
Intel® integrated GPUs
Intel® Movidius™ Vision Processing Units - referred to as VPU.
Installation
Requirements
Ubuntu 18.04, 20.04, RHEL(CPU only) or Windows 10 - 64 bit
Python 3.7, 3.8 or 3.9 for Linux and only Python3.9 for Windows
- This package supports:
Intel® CPUs
Intel® integrated GPUs
Intel® Movidius™ Vision Processing Units (VPUs).
Please Note for VAD-M use Docker installation / Build from Source for Linux.
pip3 install onnxruntime-openvino==1.13.1
Please install OpenVINO™ PyPi Package separately for Windows. For installation instructions on Windows please refer to OpenVINO™ Execution Provider for ONNX Runtime for Windows.
OpenVINO™ Execution Provider for ONNX Runtime Linux Wheels comes with pre-built libraries of OpenVINO™ version 2022.2.0 eliminating the need to install OpenVINO™ separately. The OpenVINO™ libraries are prebuilt with CXX11_ABI flag set to 0.
The package also includes module that is used by torch-ort-inference to accelerate inference for PyTorch models with OpenVINO Execution Provider. See torch-ort-inference for more details.
For more details on build and installation please refer to Build.
Usage
By default, Intel® CPU is used to run inference. However, you can change the default option to either Intel® integrated GPU or Intel® VPU for AI inferencing. Invoke the provider config device type argument to change the hardware on which inferencing is done.
For more API calls and environment variables, see Usage.
Samples
To see what you can do with OpenVINO™ Execution Provider for ONNX Runtime, explore the demos located in the Examples.
License
OpenVINO™ Execution Provider for ONNX Runtime is licensed under MIT. 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.
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.
Submit a Pull Request.
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Source Distributions
Built Distributions
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