"tf.LookupTableImportV2"(%0, %cst, %cst_0) {_has_manual_control_dependencies = true, device = ""} : (tensor<!tf_type.resource>, tensor<3x!tf_type.string>, tensor<3xi64>) -> ()
    return
  }

// Check that HashTable op in the initilizer is not lifted.
// CHECK: func.func @init_all_tables()
// CHECK: %[[OUT_0:.*]] = "tf.HashTableV2"()
// CHECK: "tf.LookupTableImportV2"(%[[OUT_0]]

      // Has a control dependency to the previous LookupTableImportV2.
      %out_4, %ctl_6 = tf_executor.island(%ctl_3) wraps "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "2", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>

    "tf.LookupTableImportV2"(%0, %cst, %cst_0) {device = ""} : (tensor<!tf_type.resource>, tensor<4xi64>, tensor<4x!tf_type.string>) -> ()
    func.return
    // CHECK-LABEL: @init_all_tables
  }

  "tf.LookupTableImportV2"(%0, %cst, %cst_0) {device = ""} : (tensor<!tf_type.resource>, tensor<3x!tf_type.string>, tensor<3xi64>) -> ()
  func.return
  // CHECK-LABEL: hashtable_import

# CHECK-NEXT: [[R6:%.*]] = "tf.Const"()
# CHECK-NEXT: [[R5:%.*]] = "tf.Const"() <{value = dense<[1, 2,
# CHECK-NEXT: [[R7:%.*]] = "tf.HashTableV2"()
# CHECK-SAME: shared_name = "[[hash_table:.*]]"
# CHECK-NEXT: "tf.LookupTableImportV2"([[R7]], [[R5]], [[R6]])

# CHECK:      func {{@[a-zA-Z_0-9]+}}(
# CHECK-SAME: [[ARG0:%.*]]: tensor<i32>
# CHECK-SAME: [[ARG1:%.*]]: tensor<!tf_type.resource

    "tf.LookupTableImportV2"(%0, %cst, %cst_0) {device = ""} : (tensor<!tf_type.resource>, tensor<4xi64>, tensor<4x!tf_type.string>) -> ()
    %handle_0 = "tf.VarHandleOp"() {container="c", shared_name="a"} : () -> tensor<!tf_type.resource<tensor<1x10xf32>>>

  );

  TF_DerivedOperandTypeAttr Tin = TF_DerivedOperandTypeAttr<1>;
  TF_DerivedOperandTypeAttr Tout = TF_DerivedOperandTypeAttr<2>;
}

def TF_LookupTableImportV2Op : TF_Op<"LookupTableImportV2", []> {
  let summary = [{
Replaces the contents of the table with the specified keys and values.
  }];

  let description = [{
The tensor `keys` must be of the same type as the keys of the table.