code: def __init__(self, in_c, out_c=21, norm=nn.InstanceNorm2d):
      super(ExFuseLevel, self).__init__()
      self.seb = SEB(in_c * 2, in_c, norm=norm)
      self.gcn = GCN(in_c, out_c, norm=norm)
      self.upconv = nn.Sequential(
          nn.ConvTranspose2d(out_c, out_c, 3, 2, 1, output_padding=1),
          norm(out_c),
          nn.ReLU(True),
      )
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new ExFuseLevel object from inherited base classes: nn with example: obj = ExFuseLevel(in_c, out_c, norm)