code: def forward(self, inputs1, inputs2):
      outputs2 = self.up(inputs2)
      offset = outputs2.size()[2] - inputs1.size()[2]
      padding = 2 * [offset // 2, offset // 2, 0]
      outputs1 = F.pad(inputs1, padding)
      return self.conv(torch.cat([outputs1, outputs2], 1))
  
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 UnetUp3 obj's underlying member method code with example usage: obj.forward(inputs1, inputs2) and returns: self