code: def test_outputs_are_equal(self):
      (
          true_encoder,
          sample_inputs,
      ) = get_small_bert_encoder_and_sample_inputs()
      unwrapped_encoder = bert_encoder_utils.get_unwrapped_bert_encoder(
          true_encoder
      )
      true_outputs = true_encoder(sample_inputs)
      computed_outputs = unwrapped_encoder(sample_inputs)
      self.assertAllClose(true_outputs, computed_outputs)
  
file_path: privacy/tensorflow_privacy/privacy/fast_gradient_clipping/bert_encoder_utils_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_models
  from tensorflow_privacy.privacy.fast_gradient_clipping import bert_encoder_utils
label_desc: Use image node_id 1 for calling the BertEncoderUtilsTest obj's underlying member method code with example usage: obj.test_outputs_are_equal() without return types