code: def forward(self, x: paddle.Tensor) -> paddle.Tensor:
      feat = self.conv(x)
      atten = F.adaptive_avg_pool2d(feat, 1)
      atten = self.conv_atten(atten)
      atten = self.bn_atten(atten)
      atten = self.sigmoid_atten(atten)
      out = paddle.multiply(feat, atten)
      return out
  
imports: import os
  from typing import Union, List, Tuple
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddlehub.module.module import moduleinfo
  import paddlehub.vision.segmentation_transforms
  from paddlehub.module.cv_module import ImageSegmentationModule
  from stdc1_seg_voc.stdcnet import STDC1
  import stdc1_seg_voc.layers
label_desc: Use image node_id 2 for calling the AttentionRefinementModule obj's underlying member method code with example usage: obj.forward(x) and returns: out