code: def _pad_1x1_to_3x3_tensor(kernel1x1):
      if kernel1x1 is None:
          return 0
      else:
          return torch.nn.functional.pad(kernel1x1, [1, 1, 1, 1])
  
imports: import copy
  from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import SelectAdaptivePool2d, Linear, make_divisible
  from ._builder import build_model_with_cfg
  from ._efficientnet_blocks import SqueezeExcite, ConvBnAct
  from ._manipulate import checkpoint_seq
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 4 for calling the RepGhostModule obj's underlying member method code with example usage: obj._pad_1x1_to_3x3_tensor(kernel1x1) and returns: int, torch