code: def testUpdatePruningStepsAndLogsSummaries_RunInference(self):
      pruned_model, _, _, x_train, _ = self._pruned_model_setup(
          custom_training_loop=True
      )
      model_output = pruned_model(x_train)
      del model_output
  
      self.assertEqual(
          -1,
          tf.keras.backend.get_value(
              pruned_model.layers[0].pruning_step
          ),
      )
      self.assertEqual(
          -1,
          tf.keras.backend.get_value(
              pruned_model.layers[1].pruning_step
          ),
      )
  
file_path: model-optimization/tensorflow_model_optimization/python/core/sparsity/keras/pruning_callbacks_test.py
imports: import os
  import tempfile
  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 pruning_callbacks
label_desc: Use image node_id 5 for calling the PruneCallbacksTest obj's underlying member method code with example usage: obj.testUpdatePruningStepsAndLogsSummaries_RunInference() without return types