The onnxruntime-training native shared library artifacts are designed to efficiently train and infer a wide range of ONNX models on edge devices, such as client machines, gaming consoles, and other portable devices with a focus on minimizing resource usage and maximizing accuracy.See https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training for more details.
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