code: def forward(self, x):
      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 paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg import utils
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
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