code: def forward(self, inputs):
      output = inputs
      # print(output.shape)
      x_0 = inputs
      conv = self.conv1
      x_1 = conv(x_0)
      conv = self.conv2
      x_2 = conv(x_1)
      conv = self.conv3
      x_3 = conv(x_2)
      conv = self.conv4
      x_4 = conv(x_3)
  
      return x_0 + x_1 + x_2 + x_3 + x_4
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import init
label_desc: Use image node_id 2 for calling the unetConv2_dilation obj's underlying member method code with example usage: obj.forward(inputs) and returns: unknown