code: def pad_length(
      len: int, padding_control: Optional[List[int]], max_len: int = -1
  ) -> int:
      if not validate_padding_control(padding_control):
          raise NotImplementedError
  
      if padding_control is not None:
          for pad in padding_control:
              if pad >= len:
                  len = pad
                  break
      if max_len > 0:
          len = min(len, max_len)
      return len
  
imports: from typing import List, NamedTuple, Optional, Tuple
  import torch
  from torch import Tensor
label_desc: Use image node_id 3 for calling a global function with example usage: pad_length(len, padding_control, max_len) and returns: len