code: def __init__(
      self,
      num_classes,
      backbone_indices,
      backbone_channels,
      gru_channels=512,
      gru_num_state=128,
      gru_num_node=64,
      enable_auxiliary_loss=True,
  ):
      super().__init__()
  
      in_channels = backbone_channels[1]
      self.conv_bn_relu = layers.ConvBNReLU(
          in_channels, gru_channels, 1, bias_attr=False
      )
      self.gru_module = GruModule(
          num_input=gru_channels,
          num_state=gru_num_state,
          num_node=gru_num_node,
      )
  
      self.dropout = nn.Dropout(0.1)
      self.classifier = nn.Conv2D(512, num_classes, kernel_size=1)
      self.auxlayer = layers.AuxLayer(
          in_channels=backbone_channels[0],
          inter_channels=backbone_channels[0] // 4,
          out_channels=num_classes,
      )
  
      self.backbone_indices = backbone_indices
      self.enable_auxiliary_loss = enable_auxiliary_loss
  
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 GloReHead object from inherited base classes: nn with example: obj = GloReHead(num_classes, backbone_indices, backbone_channels, gru_channels, gru_num_state, gru_num_node, enable_auxiliary_loss)