// Copy to eliminate the `const` qualifier so that `absl::MakeSpan` can be
  // called on it.
  std::vector<std::string> exported_names = signature_keys;
  absl::StatusOr<OwningOpRef<ModuleOp>> module_op =
      SavedModelSignatureDefsToMlirImport(saved_model_path, tags,
                                          absl::MakeSpan(exported_names), &ctx,
                                          import_options, &bundle);
  if (!module_op.status().ok()) {

    %cst = "tf.Const"() {device = "", value = dense<[[[[-0.315365672, 0.27481091], [0.0901821703, -0.382271349], [-0.105572946, -0.354302853]], [[-0.47703138, -0.307006568], [0.306320101, -0.209111646], [0.252869487,...

    %0 = tfl.add %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<?xf32>
    %1 = tfl.add %0, %0 {fused_activation_function = "NONE"} : tensor<?xf32>
    func.return %1 : tensor<?xf32>
  }

    %0:2 = tf_executor.graph {

module attributes {tf_saved_model.semantics}  {
  // CHECK-LABEL: func @main
  func.func @main_func() -> (tensor<*xf32> {tf_saved_model.index_path = ["a"]}) attributes {tf_saved_model.exported_names = ["main_func"]} {
    %0 = tf_executor.graph {
      %outputs_0, %control_0 = tf_executor.island wraps "tf.VarHandleOp"() {container = "", shared_name = ""} : () -> tensor<!tf_type.resource<tensor<501000x128xf32>>>

      %0  = "tf.Const"() {value = dense<[56, 904]> : tensor<2xi32>} : () -> tensor<2xi32>

  func.func @main() -> (tensor<5xf32> {tf_saved_model.index_path = ["start_logits"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "StatefulPartitionedCall:1"}, tf_saved_model.exported_names = ["serving_default"]} {
    %cst = arith.constant dense<0.000000e+00> : tensor<5xf32>
    func.return %cst : tensor<5xf32>
  }

  // CHECK: func @init()
  func.func @init(%arg0: tensor<!tf_type.string> {tf_saved_model.bound_input = @asset0}, %arg1: tensor<!tf_type.string> {tf_saved_model.bound_input = @asset1}) attributes {tf_saved_model.exported_names = ["init"]} {
    // CHECK-DAG: %[[ASSET0:.*]] = "tf.Const"() <{value = dense<"foo/bar/assets/test0.txt"> : tensor<!tf_type.string>}>

class ReferencesParent(tf.Module):

  def __init__(self, parent):
    super(ReferencesParent, self).__init__()
    self.parent = parent
    # CHECK: tf_saved_model.global_tensor
    # CHECK-SAME: tf_saved_model.exported_names = ["child.my_variable"]
    self.my_variable = tf.Variable(3.)


# Creates a cyclic object graph.
class TestModule(tf.Module):

  def __init__(self):
    super(TestModule, self).__init__()

  attributes {tf_saved_model.exported_names = ["test_hoist_hash_table"]} {
  // CHECK-NOT: tf.HashTableV2
  // CHECK-NOT: tf.LookupTableSizeV2