code: def squeeze_2d(
      inputs: Optional[List[List[str]]],
  ) -> Optional[List[List[List[str]]]]:
      result: Optional[List[List[List[str]]]] = None
      if inputs is not None:
          result = torch.jit.annotate(List[List[List[str]]], [])
          for line in inputs:
              result.append([line])
      return result
  
imports: from typing import List, NamedTuple, Optional, Tuple
  import torch
  from torch import Tensor
label_desc: Use image node_id 17 for calling a global function with example usage: squeeze_2d(inputs) and returns: result