code: def forward(
      self, inp: paddle.Tensor, vis_node: paddle.Tensor
  ) -> List[paddle.Tensor]:
      inp = self.word_gcn(inp)
      new_V = self.vis_gcn(vis_node)
      class_node, vis_node = self.transfer(inp, new_V)
  
      class_node = self.gamma_word * inp + class_node
      new_V = self.gamma_vis * vis_node + new_V
      return class_node, new_V
  
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_resnet50vd_cityscapes.resnet import ResNet50_vd
label_desc: Use image node_id 2 for calling the GraphLayer obj's underlying member method code with example usage: obj.forward(inp, vis_node) and returns: class_node,  new_V