code: def nano_multiprocessing_loss(**kwargs):
      """A decorator to run customized loss on multiple processes."""
  
      def decorator(func):
          return Nano_Customized_Loss(func, **kwargs)
  
      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 4 for calling a global function with example usage: nano_multiprocessing_loss() and returns: decorator, Nano_Customized_Loss