code: def result_type_impl(*tensors):
      # NB: torch dtypes here
      dtyp = tensors[0].dtype
      if len(tensors) == 1:
          return dtyp
  
      for curr in tensors[1:]:
          dtyp = _cd._result_type_dict[dtyp][curr.dtype]
  
      return dtyp
  
file_path: pytorch/torch/_numpy/_dtypes_impl.py
imports: from collections import namedtuple
  import torch
  from .None import _casting_dicts
label_desc: Use image node_id 4 for calling a global function with example usage: result_type_impl() and returns: dtyp, dtyp