code: def forward(self, x):
      short_cut = None
      if self.residual:
          short_cut = x
      x = self.layers(x)
      if self.residual:
          output = short_cut + x
      else:
          output = x
      return output
  
imports: import torch.nn
  from torch.nn import Linear, Conv2d, BatchNorm1d, BatchNorm2d, PReLU, Sequential, Module
  import torch
label_desc: Use image node_id 2 for calling the DepthWise obj's underlying member method code with example usage: obj.forward(x) and returns: output