code: def testPrunePretrainedModel_PreservesWeightObjects(self):
      model = self._get_pretrained_model()
  
      pruned_model = prune.prune_low_magnitude(model, **self.params)
      self._assert_weights_same_objects(model, pruned_model)
  
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 11 for calling the PruneIntegrationTest obj's underlying member method code with example usage: obj.testPrunePretrainedModel_PreservesWeightObjects() without return types