code: def __init__(self, in_dim: int, mid_dim: int, num_classes: int):
      super().__init__()
  
      self.conv_3x3 = nn.Sequential(
          layers.ConvBNReLU(in_dim, mid_dim, 3), nn.Dropout(0.1)
      )
  
      self.conv_1x1 = nn.Conv2D(mid_dim, num_classes, 1, 1)
  
imports: import os
  from typing import Union, List, Tuple
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddlehub.module.module import moduleinfo
  import paddlehub.vision.segmentation_transforms
  from paddlehub.module.cv_module import ImageSegmentationModule
  import bisenet_cityscapes.layers
label_desc: Use image node_id 1 to create a new SegHead object from inherited base classes: nn with example: obj = SegHead(in_dim, mid_dim, num_classes)