code: def forward(self, x: paddle.Tensor) -> paddle.Tensor:
      h = self.conv1(x.transpose((0, 2, 1))).transpose((0, 2, 1))
      h = h + x
      h = self.relu(h)
      h = self.conv2(h)
      return h
  
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 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(x) and returns: h