else:
      return len(
          [
              node.attr.get(attr_name) == attr_val
              for node in nodes
              if node.op == op_name
          ]
      )

  def _create_simple_tf1_conv_model(
      self,
      input_shape: Sequence[int] = (1, 3, 4, 3),
      filter_shape: Sequence[int] = (2, 3, 3, 2),
      use_variable_for_filter=False,
  ) -> Tuple[core.Tensor, core.Tensor]:

      in_placeholder_1, output_tensor_1 = self._create_simple_tf1_conv_model()
      sig_def_1 = signature_def_utils_impl.predict_signature_def(
          inputs={'x1': in_placeholder_1}, outputs={'output1': output_tensor_1}
      )

      in_placeholder_2, output_tensor_2 = self._create_simple_tf1_conv_model()
      sig_def_2 = signature_def_utils_impl.predict_signature_def(