src/transformers/onnx/config.py/OnnxConfig/generate_dummy_inputs_onnxruntime
class OnnxConfig:    def generate_dummy_inputs_onnxruntime(self, reference_model_inputs: Mapping[str, Any]) -> Mapping[str, Any]:
        """
        Generate inputs for ONNX Runtime using the reference model inputs. Override this to run inference with seq2seq
        models which have the encoder and decoder exported as separate ONNX files.

        Args:
            reference_model_inputs ([`Mapping[str, Tensor]`):
                Reference inputs for the model.

        Returns:
            `Mapping[str, Tensor]`: The mapping holding the kwargs to provide to the model's forward function
        """
        return reference_model_inputs