code: def get_tensors_by_names(names):
      
      ret = []
      G = tfv1.get_default_graph()
      for n in names:
          opn, varn = get_op_tensor_name(n)
          ret.append(G.get_tensor_by_name(varn))
      return ret
docs: Get a list of tensors in the default graph by a list of names.
  
      Args:
          names (list):