code: def nano(num_processes):
      """
      A decorator to run customized training loop on multiple processes.
  
      :param num_processes: int, number of processes.
      """
  
      def decorator(func):
          return _Nano_Customized_Training(func, num_processes)
  
      return decorator
  
imports: import cloudpickle
  import tensorflow
  import numpy
  from functools import wraps, partial
  from tempfile import TemporaryDirectory
  import os
  import json
  from bigdl.nano.utils.common import schedule_processors
  from bigdl.nano.tf.keras.distributed_utils import _find_free_port
  from tensorflow.keras.losses import Loss
  import warnings
  from bigdl.nano.utils.common import invalidInputError
label_desc: Use image node_id 2 for calling a global function with example usage: nano(num_processes) and returns: decorator, _Nano_Customized_Training