code: def print_layer_labels(checkpoint_path):
      """
      Loads the tensorflow computation graph from the checkpoint
      Prints all operations names defined in the computation graph defined by the checkpoint.
  
      Parameters:
      checkpoint_path (string): Path to the checkpoint filename where the tensorflow checkpoint is stored.
      """
      g = tf.train.import_meta_graph(checkpoint_path + ".meta")
      graph = tf.get_default_graph()
      print(graph.get_operations())
      tf.reset_default_graph()
      return
  
imports: import tensorflow
  import aix360.algorithms.profwt.resnet_keras_model
  import numpy
  from tensorflow.python.tools.inspect_checkpoint import print_tensors_in_checkpoint_file
  import json
label_desc: Use image node_id 1 for calling a global function with example usage: print_layer_labels(checkpoint_path) without return types