ONNX Runtime ONNXRuntimeError: [ONNXRuntimeError] : 19 : FAIL : Invalid model path

What is ONNX Runtime ONNXRuntimeError: [ONNXRuntimeError] : 19 : FAIL : Invalid model path

Understanding ONNX Runtime

ONNX Runtime is a high-performance inference engine for machine learning models in the Open Neural Network Exchange (ONNX) format. It is designed to accelerate the deployment of machine learning models across various platforms and hardware. By providing a consistent API, ONNX Runtime allows developers to run models efficiently on different devices, from cloud servers to edge devices.

Identifying the Symptom

When using ONNX Runtime, you might encounter the following error message:

ONNXRuntimeError: [ONNXRuntimeError] : 19 : FAIL : Invalid model path

This error indicates that the model path specified in your code is either incorrect or inaccessible, preventing ONNX Runtime from loading the model for inference.

Explaining the Issue

The error code 19 : FAIL : Invalid model path suggests that ONNX Runtime is unable to locate or access the model file at the given path. This can happen due to several reasons, such as:

The path is incorrectly specified in the code.The file does not exist at the specified location.There are insufficient permissions to access the file.The path is not correctly formatted for the operating system.

Common Causes

Some common causes for this issue include:

Typographical errors in the file path.Relative paths that do not resolve correctly from the current working directory.File system restrictions or permission issues.

Steps to Fix the Issue

To resolve the "Invalid model path" error, follow these steps:

Step 1: Verify the Model Path

Ensure that the path specified in your code is correct. Double-check for any typographical errors and confirm that the file exists at the specified location. For example:

model_path = "/path/to/your/model.onnx"

Use absolute paths instead of relative paths to avoid confusion.

Step 2: Check File Permissions

Ensure that the file has the necessary read permissions. On Unix-like systems, you can use the ls -l command to check permissions:

ls -l /path/to/your/model.onnx

If necessary, adjust the permissions using chmod:

chmod +r /path/to/your/model.onnx

Step 3: Validate Path Formatting

Ensure that the path is correctly formatted for your operating system. For Windows, use double backslashes \\ or raw strings r"path\to\model.onnx" to avoid escape character issues.

Step 4: Test Path Accessibility

Test the accessibility of the path by attempting to open the file in a Python script:

try: with open("/path/to/your/model.onnx", "rb") as f: print("File is accessible")except IOError: print("File is not accessible")

Additional Resources

For more information on ONNX Runtime and troubleshooting, consider visiting the following resources:

ONNX Runtime Official WebsiteONNX Runtime GitHub RepositoryONNX Runtime Documentation