code: def __init__(
      self,
      in_channels,
      out_channels,
      num_classes,
      dropout_prob=0.1,
      recurrence=1,
  ):
      super().__init__()
      inter_channels = in_channels // 4
      self.recurrence = recurrence
      self.conva = layers.ConvBNLeakyReLU(
          in_channels, inter_channels, 3, padding=1, bias_attr=False
      )
      self.cca = CrissCrossAttention(inter_channels)
      self.convb = layers.ConvBNLeakyReLU(
          inter_channels, inter_channels, 3, padding=1, bias_attr=False
      )
      self.out = layers.AuxLayer(
          in_channels + inter_channels,
          out_channels,
          num_classes,
          dropout_prob=dropout_prob,
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new RCCAModule object from inherited base classes: nn with example: obj = RCCAModule(in_channels, out_channels, num_classes, dropout_prob, recurrence)