out, "    Input ", arg.name(),
                  "_0 = ", "tensorflow::ops::Placeholder(scope.WithOpName(\"",
                  arg.name(), "\"), ", type, ");\n");
              strings::StrAppend(
                  out, "    Input ", arg.name(),
                  "_1 = ", "tensorflow::ops::Placeholder(scope.WithOpName(\"",
                  arg.name(), "\"), ", type, ");\n");
              strings::StrAppend(

    auto a = ops::_Arg(scope.WithOpName("A"), DT_INT32, 0);
    auto b = ops::_Arg(scope.WithOpName("B"), DT_INT32, 1);
    if (mul) {
      auto c = ops::Mul(scope.WithOpName("C"), a, b);
      auto d = ops::_Retval(scope.WithOpName("D"), c, 0);
      TF_RETURN_IF_ERROR(scope.ToGraph(graph.get()));
    } else {
      auto c = ops::Add(scope.WithOpName("C"), a, b);

/// created within the scope, and WithOpName() changes the suffix which
/// otherwise defaults to the type of the op.
///
/// Name examples:
///
///     Scope root = Scope::NewRootScope();
///     Scope linear = root.NewSubScope("linear");
///     // W will be named "linear/W"
///     auto W = Variable(linear.WithOpName("W"),
///                       {2, 2}, DT_FLOAT);

  std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global()));
  Scope scope = Scope::NewRootScope().ExitOnError();
  auto a = ops::_Arg(scope.WithOpName("A"), DT_INT32, 0);
  auto b = ops::_Arg(scope.WithOpName("B"), DT_INT32, 1);
  auto c = ops::Add(scope.WithOpName("C"), a, b);
  auto d = ops::_Retval(scope.WithOpName("D"), c, 0);
  TF_RETURN_IF_ERROR(scope.ToGraph(graph.get()));
  return graph;
}