op, attr_name,
            reinterpret_cast<const TF_DataType*>(type_vector.data()),
            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,

      LIST_CASE(b, TF_ATTR_BOOL);
      LIST_CASE(type, TF_ATTR_TYPE);
      LIST_CASE(
          shape, TF_ATTR_SHAPE, metadata.total_size = 0;
          for (int i = 0; i < attr->list().shape_size(); ++i) {
            const auto& s = attr->list().shape(i);
            metadata.total_size += s.unknown_rank() ? 0 : s.dim_size();
          });
      LIST_CASE(tensor, TF_ATTR_TENSOR);

        (SavedModelEstimator).
    *   Adds leaf index modes as an argument.
    *   Allow a different output shape from the input in
        tf.contrib.image.transform.
    *   Change the state_size order of the StackedRNNCell to be natural order.
        To keep the existing behavior, user can add reverse_state_order=True
        when constructing the StackedRNNCells.