code: def forward(self, x: Tensor) -> Tensor:
      if self.conv is not None:
          out = self.act(self.conv(x))
      else:
          out = self.act(self.conv1(x) + self.conv2(x))
      return out
  
imports: from __future__ import annotations
  from typing import Optional
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.nn.utils.fusion import fuse_conv_bn_weights
  from kornia.contrib.models.common import ConvNormAct
  from kornia.core import Module, Tensor, concatenate, pad
label_desc: Use image node_id 2 for calling the RepVggBlock obj's underlying member method code with example usage: obj.forward(x) and returns: out