code: def Parallelize_GPU(*args, **kwargs):
      kwargs["cpu_device"] = False
      Parallelize(*args, **kwargs)
  
imports: from collections import OrderedDict
  import logging
  import copy
  from multiprocessing import cpu_count
  from caffe2.python import model_helper, dyndep, scope, workspace, core, memonger, utils
  from caffe2.proto import caffe2_pb2
  import numpy
  import warnings
label_desc: Use image node_id 1 for calling a global function with example usage: Parallelize_GPU() without return types