code: def __init__(self, in_dim, mid_dim, num_classes):
      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
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg import utils
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models import 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)