code: def __init__(
      self,
      low_feature,
      high_feature,
      norm=nn.InstanceNorm2d,
      up_scale=2,
  ):
      super(SEB_dw, self).__init__()
      self.conv = CNA(high_feature, low_feature, norm=norm)
      self.up = nn.UpsamplingBilinear2d(scale_factor=up_scale)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new SEB_dw object from inherited base classes: nn with example: obj = SEB_dw(low_feature, high_feature, norm, up_scale)