The easy case¶

The easy case is when the machine learned model can be converter into ONNX with a converting library without writing nay specific code. That means that a converter exists for the model or each piece of the model, the converter produces an ONNX graph where every node is part of the existing ONNX specifications, the runtime used to compute the predictions implements every node used in the ONNX graph.