%1 = "tf.LookupTableSizeV2"(%0) {device = ""} : (tensor<!tf_type.resource>) -> tensor<i64>
  // CHECK-LABEL: hashtable_size
  // CHECK-NEXT:  [[HASH_TABLE:%.*]] = "tfl.hashtable"() <{key_dtype = !tf_type.string, table_id = -1323619995 : i32, value_dtype = i64}> : () -> tensor<1x!tf_type.resource>

    auto value_dtype = hashtable.getValueDtype();

    // Only allow string -> int64 and int64 -> string mappings due to kernel
    // capability.
    if (!((mlir::isa<TF::StringType>(key_dtype) &&
           mlir::isa<IntegerType>(value_dtype) &&
           mlir::cast<IntegerType>(value_dtype).getWidth() == 64) ||
          (mlir::isa<TF::StringType>(value_dtype) &&

  attributes {tf_saved_model.exported_names = ["f"]} {
    %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

    %1 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_0", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>
    %2 = "tf.LookupTableSizeV2"(%0) {device = ""} : (tensor<!tf_type.resource>) -> tensor<i64>

    %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = i64, shared_name = "hash_table_dba2ccaa-f1b1-46d6-b276-98008f69da71", use_node_name_sharing = false, value_dtype = !tf_type.string} : () -> tensor<!tf_type.resource>
    "tf.LookupTableImportV2"(%0, %cst, %cst_0) {device = ""} : (tensor<!tf_type.resource>, tensor<4xi64>, tensor<4x!tf_type.string>) -> ()
    func.return

    $shared_name, $use_node_name_sharing, $key_dtype, $value_dtype), $filename,
    $key_index, $value_index, $vocab_size, $delimiter, $offset),
  (TF_InitializeTableFromTextFileV2Op:$dest1 (TF_HashTableV2Op:$dest2 $container,
    $shared_name, $use_node_name_sharing, $key_dtype, $value_dtype),
    $filename, $key_index, $value_index, $vocab_size, $delimiter, $offset),

      %out_1, %ctl_2 = tf_executor.island wraps "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "1", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>
      %ctl_3 = tf_executor.island wraps "tf.LookupTableImportV2"(%out_1, %out, %out_0) {device = ""} : (tensor<!tf_type.resource>, tensor<1x!tf_type.string>, tensor<1xi64>) -> ()

  // CHECK-DAG: [[r:%.*]] = "tf.LookupTableFindV2"([[v0]]
  // CHECK-DAG: return [[v1]], [[r]]
  %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "x", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>
  %1 = "tf.LookupTableSizeV2"(%0) {device = ""} : (tensor<!tf_type.resource>) -> tensor<i64>

      initializer=tf.random_normal_initializer(),
      trainable=True)
  table_initializer = tf.lookup.KeyValueTensorInitializer(
      keys=[1, 2, 3, 4],
      values=[5, 6, 7, 8],
      key_dtype=tf.int32,
      value_dtype=tf.float32)
  table = tf.lookup.StaticHashTable(
      table_initializer, default_value=tf.constant(0.0))

  x = tf.placeholder(tf.int32, shape=(), name='input')
  y = table.lookup(x)
  r = tf.add(y, z)

    %cst_0 = "tf.Const"() {value = dense<1.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32>
    // Note: this is a contrived example and is an invalid input.
    %var_0 = "tf.HashTableV2"() {key_dtype = i64, value_dtype = !tf_type.string} : () -> tensor<!tf_type.resource>
    "tf.AssignVariableOp"(%var_0, %cst_0) : (tensor<!tf_type.resource>, tensor<2xf32>) -> ()
    return
  }
  // CHECK: @init_func_restore_op