code: def __init__(self, up_channels, filters, num_classes):
      super(DeepSup, self).__init__()
      self.convup5 = ConvUp2D(filters[4], num_classes, 16)
      self.convup4 = ConvUp2D(up_channels, num_classes, 8)
      self.convup3 = ConvUp2D(up_channels, num_classes, 4)
      self.convup2 = ConvUp2D(up_channels, num_classes, 2)
      self.outconv1 = nn.Conv2D(up_channels, num_classes, 3, padding=1)
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models.layers.layer_libs import SyncBatchNorm
  from paddleseg.cvlibs.param_init import kaiming_normal_init
label_desc: Use image node_id 1 to create a new DeepSup object from inherited base classes: nn with example: obj = DeepSup(up_channels, filters, num_classes)