code: def test_bert_tokenizer_outputs(self):
      text_inputs = constant_op.constant([_utf8("Test")])
      vocab = _VOCAB
      table = _create_table(vocab, 2)
      self.evaluate(table.initializer)
      tokenizer = bert_tokenizer.BertTokenizer(
          table, token_out_type=dtypes.int32
      )
      results = tokenizer.tokenize(text_inputs)
      self.assertAllEqual(results.dtype, dtypes.int32)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_map_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow_text.python.ops import bert_tokenizer
label_desc: Use image node_id 1 for calling the BertTokenizerTest obj's underlying member method code with example usage: obj.test_bert_tokenizer_outputs() without return types