type_size);
      }

      // Rest are not supported.
      if (default_value.list().shape_size() > 0 ||
          default_value.list().func_size() > 0 ||
          default_value.list().tensor_size() > 0) {
        TF_SetStatus(
            status, TF_UNIMPLEMENTED,
            tensorflow::strings::StrCat("Unable to get setfor default value: ",
                                        default_value.DebugString())

                                s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  const char* tensor_data[] = {&tensor1[0], &tensor2[0]};
  const size_t tensor_size[] = {TF_ARRAYSIZE(tensor1), TF_ARRAYSIZE(tensor2)};
  const int64_t* tensor_dims[] = {&dims1[0], &dims2[0]};
  const size_t tensor_ndims[] = {ndims1, ndims2};
  for (int i = 0; i < 2; ++i) {

            documented as temporary and to be removed.
            *   Uses of `tensors()` can be replaced by calling the existing
                methods `tensors_size()` and `tensor(int)`.
            *   Uses of the non-const overload of `nodes_and_registration` can
                be replaced by calling the existing methods `nodes_size()` and