code: def to(torch_to):
      def new_to(self, *args, **kwargs):
          if is_gpu_device(kwargs.get("device")):
              kwargs["device"] = "cpu"
              return torch_to(self, *args, **kwargs)
          elif len(args) > 0 and is_gpu_device(args[0]):
              return torch_to(self, "cpu", *args[1:], **kwargs)
          else:
              return torch_to(self, *args, **kwargs)
  
      return new_to
  
imports: import os
  import torch
  from logging import warning
  from bigdl.nano.utils.pytorch import TORCH_VERSION_LESS_1_10
label_desc: Use image node_id 5 for calling a global function with example usage: to(torch_to) and returns: new_to, torch_to, torch_to, torch_to