code: def entail_zero_padding(
      old_tensor: torch.Tensor, num_rows: int
  ) -> torch.Tensor:
      if old_tensor is None:
          return None
  
      if len(old_tensor.shape) == 1:
          return torch.cat(
              (
                  old_tensor,
                  torch.zeros(num_rows).to(
                      dtype=old_tensor.dtype, device=old_tensor.device
                  ),
              )
          )
      else:
          return torch.cat(
              (
                  old_tensor,
                  torch.zeros((num_rows, *old_tensor.shape[1:])).to(
                      dtype=old_tensor.dtype, device=old_tensor.device
                  ),
              ),
              dim=0,
          )
  
file_path: graph4nlp/graph4nlp/pytorch/data/utils.py
imports: from typing import Any, List, Tuple, Union
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: entail_zero_padding(old_tensor, num_rows) and returns: None, torch, torch