list->add_s(nested_value.s());
          break;
        case AttrValue::kType:
          list->add_type(nested_value.type());
          break;
        case AttrValue::kShape:
          *list->add_shape() = nested_value.shape();
          break;
        default:
          return errors::Unimplemented("Unhandled nested attribute!");
      }
    } else if (auto attr = mlir::dyn_cast<mlir::ElementsAttr>(a)) {

                     .Attr("dtype", data_type)
                     .Attr("value", tensor);
  // Create a bad output shape attr.
  AttrValue shape_attr;
  TensorShapeProto* shape_proto = shape_attr.mutable_list()->add_shape();
  shape_proto->add_dim()->set_size(1);
  builder.Attr("_output_shapes", shape_attr);

  TF_RETURN_IF_ERROR(builder.Finalize(&node));

  return CreateSingleOpGraph(node, {}, {DataType::DT_INT32});
}

                       AttrValueMap* values) {
  AttrValue value;
  auto& shape_list = *value.mutable_list();
  for (const std::optional<llvm::ArrayRef<int64_t>>& shape : shapes) {
    TensorShapeProto& tshape = *shape_list.add_shape();
    if (shape.has_value()) {
      for (int64_t dim : *shape) {
        tshape.add_dim()->set_size(mlir::ShapedType::isDynamic(dim) ? -1 : dim);
      }
    } else {
      tshape.set_unknown_rank(true);
    }

        handle_dtypes_attr.mutable_list()->add_type(dtype);

        SetTensorShapeProto(subtype,
                            handle_shapes_attr.mutable_list()->add_shape());
      }

      (*node_def->mutable_attr())["_handle_dtypes"] = handle_dtypes_attr;
      (*node_def->mutable_attr())["_handle_shapes"] = handle_shapes_attr;
    }
  }

  TF_RETURN_IF_ERROR(

        handle_dtypes_attr.mutable_list()->add_type(dtype);

        SetTensorShapeProto(subtype,
                            handle_shapes_attr.mutable_list()->add_shape());
      }

      (*node_def->mutable_attr())["_handle_dtypes"] = handle_dtypes_attr;
      (*node_def->mutable_attr())["_handle_shapes"] = handle_shapes_attr;
    }
  }

  TF_RETURN_IF_ERROR(

}

TEST_F(DataFlowGradTest, DynamicStitchGrad) {
  TensorShape d1_shape({2});
  TensorShape d2_shape({2, 2});
  std::vector<Output> indices = {Const(scope_, 2), Const(scope_, {1, 0})};
  std::vector<Output> data = {
      Placeholder(scope_, DT_FLOAT, Placeholder::Shape(d1_shape)),
      Placeholder(scope_, DT_FLOAT, Placeholder::Shape(d2_shape))};
  auto y = DynamicStitch(scope_, indices, data);
  TensorShape y_shape({3, 2});

        builder.addEscape(c, "\uFFFD");
      }
    }

    // Build the content escaper first and then add quote escaping for the
    // general escaper.
    builder.addEscape('&', "&");
    builder.addEscape('<', "&lt;");
    builder.addEscape('>', "&gt;");
    XML_CONTENT_ESCAPER = builder.build();
    builder.addEscape('\'', "&apos;");
    builder.addEscape('"', "&quot;");

  private static final Escaper HTML_ESCAPER =
      Escapers.builder()
          .addEscape('"', """)
          // Note: "'" is not defined in HTML 4.01.
          .addEscape('\'', "'")
          .addEscape('&', "&")
          .addEscape('<', "&lt;")
          .addEscape('>', "&gt;")
          .build();

  private HtmlEscapers() {}

        builder.addEscape(c, "\uFFFD");
      }
    }

    // Build the content escaper first and then add quote escaping for the
    // general escaper.
    builder.addEscape('&', "&");
    builder.addEscape('<', "&lt;");
    builder.addEscape('>', "&gt;");
    XML_CONTENT_ESCAPER = builder.build();
    builder.addEscape('\'', "&apos;");
    builder.addEscape('"', "&quot;");

  private static final Escaper HTML_ESCAPER =
      Escapers.builder()
          .addEscape('"', """)
          // Note: "'" is not defined in HTML 4.01.
          .addEscape('\'', "'")
          .addEscape('&', "&")
          .addEscape('<', "&lt;")
          .addEscape('>', "&gt;")
          .build();

  private HtmlEscapers() {}