class_docstr: FastSCNN feature fusion module
class_docstr_tok: ["FastSCNN","feature","fusion","module"]
code: def hybrid_forward(self, F, higher_res_feature, lower_res_feature):
      lower_res_feature = F.contrib.BilinearResize2D(
          lower_res_feature, **self._up_kwargs
      )
  
      lower_res_feature = self.dwconv(lower_res_feature)
      lower_res_feature = self.bn(
          self.conv_lower_res(lower_res_feature)
      )
      higher_res_feature = self.bn_high(
          self.conv_higher_res(higher_res_feature)
      )
      out = higher_res_feature + lower_res_feature
      return self.relu(out)
  
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
label_desc: Use image node_id 2 for calling the FeatureFusionModule obj's underlying member method code with example usage: obj.hybrid_forward(F, higher_res_feature, lower_res_feature) and returns: self