class_docstr: The UPerNetHead implementation.
  
  Args:
      inplane (int): Input channels of PPM module.
      num_class (int): The unique number of target classes.
      channels_fpn (list): The feature channels from backbone.
      fpn_channels (int, optional): The input channels of FPN module. Default: 512.
      enable_auxiliary_loss (bool, optional): A bool value indicates whether adding auxiliary loss. Default: False.
code: def cls_seg(self, feat):
      if self.dropout is not None:
          feat = self.dropout(feat)
      output = self.conv_seg(feat)
      return output
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.utils import utils
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.models.backbones.transformer_utils import Identity
label_desc: Use image node_id 2 for calling the UPerNetHead obj's underlying member method code with example usage: obj.cls_seg(feat) and returns: output