%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>) -> ()

    # "quantization" -> 2
    # default -> -1
    init = lookup_ops.TextFileInitializer(
        filename=asset_file,
        key_dtype=dtypes.string,
        key_index=lookup_ops.TextFileIndex.WHOLE_LINE,
        value_dtype=dtypes.int64,
        value_index=lookup_ops.TextFileIndex.LINE_NUMBER,
    )
    table = lookup_ops.StaticHashTable(init, default_value=-1)

    input_vocabs_placeholder = array_ops.placeholder(

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

    // expected-remark@+1 {{Cost: 1}}
    %0 = "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>
    // expected-remark@+1 {{Cost: 1024}}

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

  %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>


  %keys = "tf.Const"() {value = dense<["a", "b", "c", "d"]> : tensor<4x!tf_type.string>} : () -> tensor<4x!tf_type.string>

  // CHECK: return [[v]]#[[size_idx]], [[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>

  // CHECK-SAME: key_dtype = !tf_type.string
  // CHECK-SAME: shared_name = "table"
  // CHECK-SAME: value_dtype = i32
  // CHECK-SAME: device = ""
  // CHECK-SAME: () -> tensor<!tf_type.resource>
  %handle = "tf.HashTable"() {container = "", device = "", shared_name = "table", key_dtype = !tf_type.string, value_dtype = i32} : () -> tensor<*x!tf_type.stringref>

  // CHECK: "tf.InitializeTableFromTextFileV2"([[handle]]

  attributes {tf_saved_model.exported_names = ["main"]} {
  %0 = "tf.HashTableV2"() {device = "/device:CPU:0", container = "", shared_name = "variable", key_dtype = i32, value_dtype = i32} : () -> tensor<*x!tf_type.resource>

  %1 = "tf.AddV2"(%arg2, %0) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32>
  %2 = "tf.TensorMapInsert"(%arg3, %arg2, %arg2) {device = "", key_dtype = i32, value_dtype = i32} : (tensor<!tf_type.variant>, tensor<i32>, tensor<i32>) -> tensor<!tf_type.variant>
  %3 = "tf.AddV2"(%arg0, %0) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32>