code: def testPrunePretrainedModel_SameInferenceWithoutTraining(self):
      model = self._get_pretrained_model()
      pruned_model = prune.prune_low_magnitude(model, **self.params)
  
      input_data = np.random.rand(10, 10)
  
      out = model.predict(input_data)
      pruned_out = pruned_model.predict(input_data)
  
      self.assertTrue((out == pruned_out).all())
  
imports: import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import test_utils
  from tensorflow_model_optimization.python.core.sparsity.keras import prune
  from tensorflow_model_optimization.python.core.sparsity.keras import prune_registry
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_callbacks
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_schedule
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_wrapper
  from tensorflow_model_optimization.python.core.sparsity.keras import test_utils
label_desc: Use image node_id 12 for calling the PruneIntegrationTest obj's underlying member method code with example usage: obj.testPrunePretrainedModel_SameInferenceWithoutTraining() without return types