code: def forward(self, input1, input2):
      output2 = self.up(input2)
      offset = output2.size()[2] - input1.size()[2]
      padding = [offset // 2] * 4
      output1 = F.pad(input1, padding)
      output = torch.cat([output1, output2], 1)
      return self.conv(output)
  
file_path: pywick/pywick/models/segmentation/testnets/exfuse/unet_layer.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the UnetUpConv2D obj's underlying member method code with example usage: obj.forward(input1, input2) and returns: self