code: def __init__(self, num_state: int, num_node: int, num_class: int):
      super().__init__()
      self.vis_gcn = GCN(num_state, num_node)
      self.word_gcn = GCN(num_state, num_class)
      self.transfer = GraphTransfer(num_state)
      self.gamma_vis = paddle.zeros([num_node])
      self.gamma_word = paddle.zeros([num_class])
      self.gamma_vis = paddle.create_parameter(
          shape=self.gamma_vis.shape,
          dtype=str(self.gamma_vis.numpy().dtype),
          default_initializer=paddle.nn.initializer.Assign(
              self.gamma_vis
          ),
      )
      self.gamma_word = paddle.create_parameter(
          shape=self.gamma_word.shape,
          dtype=str(self.gamma_word.numpy().dtype),
          default_initializer=paddle.nn.initializer.Assign(
              self.gamma_word
          ),
      )
  
imports: import os
  from typing import Union, List, Tuple
  import paddle
  from paddle import nn
  import paddle.nn.functional
  import numpy
  from paddlehub.module.module import moduleinfo
  import paddlehub.vision.segmentation_transforms
  from paddlehub.module.cv_module import ImageSegmentationModule
  from paddleseg.utils import utils
  from paddleseg.models import layers
  from ginet_resnet101vd_cityscapes.resnet import ResNet101_vd
label_desc: Use image node_id 1 to create a new GraphLayer object from inherited base classes: nn with example: obj = GraphLayer(num_state, num_node, num_class)