code: def __init__(self, in_c, k=3, norm=nn.InstanceNorm2d):
      super(DAP, self).__init__()
      self.k2 = k * k
      self.conv = CNA(in_c, in_c * k * k, norm=norm)
      self.padd = nn.ZeroPad2d(k // 2)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new DAP object from inherited base classes: nn with example: obj = DAP(in_c, k, norm)