ONNX Runtime is an open-source inference engine designed to execute machine learning models in the ONNX (Open Neural Network Exchange) format. It provides high performance and cross-platform capabilities, making it a popular choice for deploying machine learning models in production environments. ONNX Runtime supports a wide range of hardware accelerators and is optimized for both CPU and GPU execution.
When working with ONNX Runtime, you might encounter the following error message:
ONNXRuntimeError: [ONNXRuntimeError] : 7 : RUNTIME_EXCEPTION : Session creation failed
This error indicates that there was a problem during the initialization of the ONNX Runtime session, preventing the model from being loaded and executed.
The error code 7 : RUNTIME_EXCEPTION suggests a runtime exception occurred, specifically during the session creation phase. This can be caused by various factors, such as insufficient resources, incorrect model paths, or incompatible configurations.
To address the session creation failure, follow these steps:
Ensure that your system has sufficient resources to initialize the ONNX Runtime session. Check memory and CPU/GPU utilization using system monitoring tools:
# On Linux, use the following command to check memory usage
top
# On Windows, use Task Manager to monitor resource usage.
If resources are constrained, consider closing unnecessary applications or upgrading your hardware.
Ensure that the ONNX model file is not corrupted and is compatible with the ONNX Runtime version you are using. You can validate the model using the ONNX checker tool:
import onnx
# Load the model
model = onnx.load('model.onnx')
# Check the model
onnx.checker.check_model(model)
If the model is invalid, regenerate or obtain a valid version of the model.
Ensure that the ONNX Runtime session options are correctly configured. Double-check paths, execution providers, and other settings:
import onnxruntime as ort
# Example of setting session options
options = ort.SessionOptions()
options.intra_op_num_threads = 1
options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
# Create session
session = ort.InferenceSession('model.onnx', options)
Refer to the ONNX Runtime documentation for detailed configuration options.
By following these steps, you should be able to resolve the session creation failure in ONNX Runtime. Ensuring adequate resources, verifying model integrity, and reviewing configuration settings are key to successful session initialization. For further assistance, consider reaching out to the ONNX Runtime community for support.
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