code: def forward(
      self, x: paddle.Tensor, short_cut: paddle.Tensor
  ) -> paddle.Tensor:
      if self.use_deconv:
          x = self.deconv(x)
      else:
          x = F.interpolate(
              x,
              paddle.shape(short_cut)[2:],
              mode="bilinear",
              align_corners=self.align_corners,
          )
      x = paddle.concat([x, short_cut], axis=1)
      x = self.double_conv(x)
      return x
  
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
  import unet_cityscapes.layers
label_desc: Use image node_id 2 for calling the UpSampling obj's underlying member method code with example usage: obj.forward(x, short_cut) and returns: x