code: def _assert_outputs_equal(self, model1, model2):
      inputs = np.random.randn(
          *self._batch(model1.input.get_shape().as_list(), 1)
      )
      self.assertAllClose(
          model1.predict(inputs), model2.predict(inputs)
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import compat
  from tensorflow_model_optimization.python.core.keras import test_utils
  from tensorflow_model_optimization.python.core.quantization.keras import quantize
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_config
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
label_desc: Use image node_id 3 for calling the QuantizeIntegrationTest obj's underlying member method code with example usage: obj._assert_outputs_equal(model1, model2) without return types