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MlOnnxModel

Namespace: MLLIB  ·  Library: Machine Learning Library

#include <ml/ml_onnx_model.h>

class MLLIB::MlOnnxModel

MlModel backend that runs ``.onnx graphs through ONNX Runtime with a cached CPU session.

When mne-cpp is configured without USE_ONNXRUNTIME every method either throws std::runtime_error (predict) or returns false / logs a warning (load, save), so the same client code compiles and links on minimal builds and on WebAssembly without conditional call sites.

Inheritance​

Public Methods​

MlOnnxModel()​

Default constructor.

~MlOnnxModel()​

Destructor.

predict(input)​

Run inference on the given input tensor.

Parameters:

  • input : const MlTensor & The input data.

Returns:

save(path)​

Serialise the model to disk.

Parameters:

  • path : const QString & File path.

Returns:

  • bool — True if successful.

load(path)​

Load a model from disk.

Parameters:

  • path : const QString & File path.

Returns:

  • bool — True if successful.

modelType()​

Returns:

  • QString — Human-readable model type name.

taskType()​

Returns:

  • MlTaskType — The task type this model is configured for.

isLoaded()​

Returns:

  • bool — True if an ONNX Runtime session has been loaded and is ready for inference.

Authors of this file​