TF_OpDefinitionBuilderAddInput(builder, "input1: uint8");
  TF_OpDefinitionBuilderAddInput(builder, "input2: uint32");
  TF_OpDefinitionBuilderAddOutput(builder, "output1: uint8");
  TF_OpDefinitionBuilderAddOutput(builder, "output2: uint8");
  TF_OpDefinitionBuilderSetShapeInferenceFunction(
      builder, &TF_ShapeInferenceContextSetUnknownShape);
  TF_Status* status = TF_NewStatus();

}

void TF_OpDefinitionBuilderAddInput(TF_OpDefinitionBuilder* builder,
                                    const char* input_spec) {
  reinterpret_cast<OpDefBuilder*>(builder)->Input(input_spec);
}

void TF_OpDefinitionBuilderAddOutput(TF_OpDefinitionBuilder* builder,
                                     const char* output_spec) {
  reinterpret_cast<OpDefBuilder*>(builder)->Output(output_spec);
}

//
// Inputs, outputs and attributes can be added to the builder with the
// corresponding functions, e.g.
//
// TF_OpDefinitionBuilderAddInput(builder, "input1: int32");
// TF_OpDefinitionBuilderAddOutput(builder, "output1: int64");
// TF_OpDefinitionBuilderAddAttr(builder, "attr: int32");
//
// The builder may then be registered with TensorFlow using the
// TF_RegisterOpDefinition function. E.g.
//