code: def forward(self, input_):
      output = self.bn_relu_1(input_)
      output = self.conv3x3(output)
  
      br1 = self.dconv3x1(output)
      br1 = self.dconv1x3(br1)
      br2 = self.ddconv3x1(output)
      br2 = self.ddconv1x3(br2)
  
      output = br1 + br2
      output = self.bn_relu_2(output)
      output = self.conv1x1(output)
  
      return output + input_
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the DABModule obj's underlying member method code with example usage: obj.forward(input_) and returns: unknown