code: def validate_make_prediction_batch_element(
      be: Tuple[
          Optional[List[str]],  # texts
          Optional[List[List[str]]],  # multi_texts
          Optional[List[List[str]]],  # tokens
          Optional[List[str]],  # languages
          Optional[List[List[float]]],  # dense_feat must be None
      ]
  ):
      if be[0] is not None:
          if (be[1] is not None) or (be[2] is not None):
              raise RuntimeError(
                  "only one of texts, multi_texts, tokens can be not None."
              )
      elif be[1] is not None:
          if be[2] is not None:
              raise RuntimeError(
                  "only one of texts, multi_texts, tokens can be not None."
              )
  
      if be[3] is not None:
          raise RuntimeError(
              "currently, languages != None is not supported."
          )
  
imports: from typing import Any, Dict, List, Optional, Tuple
  import torch
  from pytext.torchscript.tensorizer.tensorizer import ScriptTensorizer
label_desc: Use image node_id 11 for calling a global function with example usage: validate_make_prediction_batch_element(be) without return types