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 devices. ONNX Runtime supports a wide range of hardware and provides optimizations to ensure efficient model execution.
When using ONNX Runtime, you might encounter the following error message:
ONNXRuntimeError: [ONNXRuntimeError] : 3 : NO_SUCHFILE : Load model from model.onnx failed: No such file
This error indicates that ONNX Runtime is unable to locate the specified model file, resulting in a failure to load the model.
The error code NO_SUCHFILE suggests that the file path provided to ONNX Runtime is incorrect or the file does not exist at the specified location. This is a common issue when the file path is mistyped or the file has been moved or deleted.
Ensure that the file path specified in your code is correct. Double-check for any typographical errors or missing directories. For example:
import onnxruntime as ort
session = ort.InferenceSession("/path/to/your/model.onnx")
Make sure /path/to/your/model.onnx is the correct path to your model file.
Verify that the model file exists at the specified location. You can use the following command in your terminal or command prompt to check:
ls /path/to/your/model.onnx
If the file does not exist, you will need to locate it or regenerate it if necessary.
Ensure that the file has the appropriate permissions for reading. You can modify the permissions using:
chmod +r /path/to/your/model.onnx
This command grants read permissions to the file, allowing ONNX Runtime to access it.
For more information on ONNX Runtime, you can visit the official ONNX Runtime website. Additionally, the ONNX Runtime GitHub repository provides further documentation and examples.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)
