code: def _pad_1x1_to_3x3_tensor(self, kernel1x1):
      if kernel1x1 is None:
          return 0
      else:
          return nn.functional.pad(kernel1x1, [1, 1, 1, 1])
  
imports: import os
  from typing import Union
  import paddle
  import paddle.nn
  import paddlehub.vision.transforms
  import numpy
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.cv_module import ImageClassifierModule
label_desc: Use image node_id 5 for calling the RepVGGBlock obj's underlying member method code with example usage: obj._pad_1x1_to_3x3_tensor(kernel1x1) and returns: int, nn