const string sep =
      name_.empty() || unique_name.empty() ? "" : kScopeSeparator;
  return strings::StrCat(name_, sep, unique_name);
}

string Scope::GetUniqueNameForOp(const string& default_name) const {
  if (impl()->single_use_scope()) {
    if (impl()->op_name_.empty() || *impl()->scope_used_) {
      *impl()->status_ =

                                  next_output_index, dtype);

  std::vector<NodeBuilder::NodeOut> input_list({enter_input, next_input});
  const string unique_name = scope.GetUniqueNameForOp("Merge");
  NodeBuilder builder = NodeBuilder(unique_name, "Merge").Input(input_list);
  scope.UpdateBuilder(&builder);

  Node* merge_node;
  TF_RETURN_IF_ERROR(builder.Finalize(scope.graph(), &merge_node));

  // The following functions are for scope object consumers.

  /// Return a unique name, using default_name if an op name has not been
  /// specified.
  string GetUniqueNameForOp(const string& default_name) const;

  /// Update the status on this scope.
  /// Note: The status object is shared between all children of this scope.

  for (int i = start_value_index; i < end_value_index; ++i) {
    inputs.push_back(op.input(i));
  }

  auto shapes = ShapeN(scope, inputs);
  const auto unique_name = scope.GetUniqueNameForOp("ConcatOffset");
  auto builder =
      ::tensorflow::NodeBuilder(unique_name, "ConcatOffset")
          .Input(::tensorflow::ops::AsNodeOut(scope, op.input(dim_index)))

  auto _data = ops::AsNodeOut(scope, data);
  if (!scope.ok()) return;
  auto _output_index = ops::AsNodeOut(scope, output_index);
  if (!scope.ok()) return;
  Node* ret;
  const auto unique_name = scope.GetUniqueNameForOp("_SwitchN");
  auto builder = NodeBuilder(unique_name, "_SwitchN")
                     .Input(_data)
                     .Input(_output_index)
                     .Attr("num_outs", num_outs);