code: def __init__(self, in_chan, out_chan):
      super(FeatureFusionModule, self).__init__()
      self.convblk = layers.ConvBNReLU(
          in_chan, out_chan, kernel_size=1, stride=1, padding=0
      )
      self.conv1 = nn.Conv2D(
          out_chan,
          out_chan // 4,
          kernel_size=1,
          stride=1,
          padding=0,
          bias_attr=None,
      )
      self.conv2 = nn.Conv2D(
          out_chan // 4,
          out_chan,
          kernel_size=1,
          stride=1,
          padding=0,
          bias_attr=None,
      )
      self.relu = nn.ReLU()
      self.sigmoid = nn.Sigmoid()
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg import utils
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new FeatureFusionModule object from inherited base classes: nn with example: obj = FeatureFusionModule(in_chan, out_chan)