code: def __init__(self, n_classes, *args, **kwargs):
      super(BiSeNet, self).__init__()
      self.cp = ContextPath()
      ## here self.sp is deleted
      self.ffm = FeatureFusionModule(256, 256)
      self.conv_out = BiSeNetOutput(256, 256, n_classes)
      self.conv_out16 = BiSeNetOutput(128, 64, n_classes)
      self.conv_out32 = BiSeNetOutput(128, 64, n_classes)
      self.init_weight()
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from ParsingResnet import Resnet18
label_desc: Use image node_id 1 to create a new BiSeNet object from inherited base classes: nn with example: obj = BiSeNet(n_classes)