code: def forward(self, input_):
      output1 = self.c1(input_)
      d1 = self.d1(output1)
      d2 = self.d2(output1)
      d4 = self.d4(output1)
      d8 = self.d8(output1)
      d16 = self.d16(output1)
  
      add1 = d2
      add2 = add1 + d4
      add3 = add2 + d8
      add4 = add3 + d16
  
      combine = torch.cat([d1, add1, add2, add3, add4], 1)
      # combine_in_out = input + combine
      output = self.bn(combine)
      output = self.act(output)
      return output
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the DownSamplerB obj's underlying member method code with example usage: obj.forward(input_) and returns: output