code: def __init__(self, in_ch, out_ch):
      super().__init__()
      bot_ch = 256
      self.conv_bn_re0 = layers.ConvBNReLU(
          in_ch, bot_ch, kernel_size=3, padding=1, bias_attr=False
      )
      self.conv_bn_re1 = layers.ConvBNReLU(
          bot_ch, bot_ch, kernel_size=3, padding=1, bias_attr=False
      )
      self.conv2 = nn.Conv2D(
          bot_ch, out_ch, kernel_size=1, bias_attr=False
      )
      self.sig = nn.Sigmoid()
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.models import layers
  from paddleseg.utils import utils
  from paddleseg.cvlibs import manager, param_init
label_desc: Use image node_id 1 to create a new AttenHead object from inherited base classes: nn with example: obj = AttenHead(in_ch, out_ch)