%cst = arith.constant dense<"f"> : tensor<!tf_type.string>
  %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_e308c10b-91c8-416c-81f9-af5bf6aba847", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>
  %1 = "tf.LookupTableFindV2"(%0, %cst, %arg0) {device = ""} : (tensor<!tf_type.resource>, tensor<!tf_type.string>, tensor<i64>) -> tensor<*xi64>

  %cst = arith.constant dense<"vocab_file_does_not_exist.txt"> : tensor<!tf_type.string>
  %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_/tmp/vocab.txt_-2_-1", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

func.func @init_all_tables() {
  %cst = arith.constant dense<"tokens.txt"> : tensor<!tf_type.string>
  %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_/tmp/vocab.txt_-2_-1", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

    %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_1", 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>

    %cst_0 = arith.constant dense<["a", "b", "c", "d"]> : tensor<4x!tf_type.string>
    %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

  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>

func.func @init_all_tables() {
  %cst = arith.constant dense<"%FILE_PLACEHOLDER"> : tensor<!tf_type.string>
  %0 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "hash_table_/tmp/vocab.txt_-2_-1", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

      // If this op is not in the allowlist, then it is likely a custom op.
      // Currently for these ops, we are relying on its "use_node_name_sharing"
      // to decide whether it is valid to generate shared_names. If the OpDef
      // has "use_node_name_sharing" field, then it is valid to use node names
      // as shared names.
      if (!std::any_of(op_def.attr().begin(), op_def.attr().end(),

  (TF_InitializeTableFromTextFileOp:$src (TF_HashTableOp $container,
    $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),

  %handle = "tf.HashTableV2"() {container = "", device = "/job:localhost/replica:0/task:0/device:CPU:0", key_dtype = !tf_type.string, shared_name = "hash_table", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

  // CHECK: tf.LookupTableFindV2
  // CHECK-NOT: tf.Assert
  // CHECK: tf.LookupTableFindV2
  // CHECK: tf.Assert