strings::StrAppend(&class_decl,
                       "  operator ::tensorflow::Operation() const { "
                       "return operation; }\n");
  } else if (op_info.output_types.size() == 1) {
    if (op_info.is_list_output[0]) {
      // Write the subscript operator, allowing out[i] for the list-typed
      // output.
      strings::StrAppend(&class_decl,
                         "  ::tensorflow::Output operator[](size_t index) "

  string op_name;
  std::vector<string> arg_types;
  std::vector<string> arg_names;
  std::vector<string> output_types;
  std::vector<string> output_names;
  std::vector<bool> is_list_output;
  bool has_optional_attrs;
  string comment;

  const OpDef& graph_op_def;
  const ApiDef& api_def;
  const std::vector<string>& aliases;

    output_names.push_back(AvoidCPPKeywords(api_def_arg.rename_to()));
    is_list_output.push_back(is_list);
  }

  strings::StrAppend(&comment, "\nReturns:\n");
  if (graph_op_def.output_arg_size() == 0) {  // No outputs.
    strings::StrAppend(&comment, "* the created `Operation`\n");
  } else if (graph_op_def.output_arg_size() == 1) {  // One output
    if (is_list_output[0]) {
      strings::StrAppend(&comment, "* `OutputList`: ");