ONNX Runtime ONNXRuntimeError: [ONNXRuntimeError] : 15 : FAIL : OpenVINO error

What is ONNX Runtime ONNXRuntimeError: [ONNXRuntimeError] : 15 : FAIL : OpenVINO error

Understanding ONNX Runtime and Its Purpose

ONNX Runtime is a high-performance inference engine for deploying machine learning models. It supports multiple platforms and hardware accelerators, making it a versatile choice for developers looking to optimize their models for production. One of the key features of ONNX Runtime is its ability to integrate with various execution providers, such as OpenVINO, to enhance performance on specific hardware.

Identifying the Symptom: ONNXRuntimeError with OpenVINO

When using ONNX Runtime with OpenVINO as an execution provider, you might encounter the following error message: ONNXRuntimeError: [ONNXRuntimeError] : 15 : FAIL : OpenVINO error. This error indicates a failure during the execution of a model optimized with OpenVINO.

Exploring the Issue: What Causes the OpenVINO Error?

The error typically arises when there is a problem with the OpenVINO integration. This could be due to an incorrect installation of OpenVINO, an incompatibility between the model and OpenVINO, or a misconfiguration in the environment. Understanding the root cause is essential for resolving the issue effectively.

Common Causes of OpenVINO Errors

Incorrect or incomplete installation of OpenVINO. Model incompatibility with OpenVINO optimizations. Environment variables not set correctly for OpenVINO.

Steps to Fix the ONNXRuntimeError with OpenVINO

To resolve this issue, follow these steps:

Step 1: Verify OpenVINO Installation

Ensure that OpenVINO is installed correctly. You can verify the installation by running the following command in your terminal:

source /opt/intel/openvino/bin/setupvars.sh

If the command executes without errors, OpenVINO is set up correctly. For more details on installation, refer to the OpenVINO Installation Guide.

Step 2: Check Model Compatibility

Ensure that your model is compatible with OpenVINO optimizations. Some models may require specific configurations or adjustments. You can find compatibility information in the Model Optimizer Developer Guide.

Step 3: Set Environment Variables

Make sure that all necessary environment variables are set correctly. This includes paths to OpenVINO libraries and binaries. You can set these variables by adding the following lines to your .bashrc or .zshrc file:

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/intel/openvino/deployment_tools/inference_engine/lib/intel64export PYTHONPATH=$PYTHONPATH:/opt/intel/openvino/python/python3.6

Conclusion

By following these steps, you should be able to resolve the ONNXRuntimeError related to OpenVINO. Ensuring proper installation, compatibility, and configuration will help you leverage the full potential of OpenVINO optimizations in ONNX Runtime. For further assistance, consider visiting the ONNX Runtime GitHub Issues page for community support.