code: def copy_state_dict(state_dict, target_device=None):
      copied_state_dict = copy.deepcopy(state_dict)
      if target_device is None:
          return copied_state_dict
      else:
          # Ensures that tensors with the same data_ptrs point to the same
          # data_ptr after copying
          new_state_dict = {}
          unique_dict = {}
          for k, v in copied_state_dict.items():
              unique_key = tuple(v.shape), v.data_ptr()
              if unique_key not in unique_dict:
                  unique_dict[unique_key] = v.to(target_device)
              # Create a view
              new_state_dict[k] = unique_dict[unique_key][:]
  
          return new_state_dict
  
imports: import copy
  import math
  import os
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import Dataset, DataLoader
label_desc: Use image node_id 6 for calling a global function with example usage: copy_state_dict(state_dict, target_device) and returns: copied_state_dict, new_state_dict