message: Added tests for bert text embedding model
diff: @@ -34,7 +34,9 @@ _TextSearcherOptions = text_searcher.TextSearcherOptions
  _REGEX_MODEL = 'regex_one_embedding_with_metadata.tflite'
  _REGEX_INDEX = 'regex_index.ldb'
  -_EXPECTED_REGEX_SEARCH_PARAMS = [
  +_BERT_MODEL = 'regex_one_embedding_with_metadata.tflite'
  +_BERT_INDEX = 'regex_index.ldb'
  +_EXPECTED_SEARCH_PARAMS = [
  {
  'metadata': 'The weather was excellent.',
  'distance': 0.0
  @@ -131,7 +133,9 @@ class TextSearcherTest(parameterized.TestCase, tf.test.TestCase):
  @parameterized.parameters(
  (_REGEX_MODEL, _REGEX_INDEX, True, False, ModelFileType.FILE_NAME,
  - _EXPECTED_REGEX_SEARCH_PARAMS),
  + _EXPECTED_SEARCH_PARAMS),
  + (_BERT_MODEL, _BERT_INDEX, True, False, ModelFileType.FILE_NAME,
  + _EXPECTED_SEARCH_PARAMS),
  )
  def test_search(self, model_name, index_name, l2_normalize, quantize,
  model_file_type, expected_search_params):
  