code: def demo(self, x, c1):
      h, w = c1.shape[2:]
      self._up_kwargs["height"] = h
      self._up_kwargs["width"] = w
      c1 = self.c1_block(c1)
      x = self.aspp.demo(x)
      import mxnet.ndarray as F
  
      x = F.contrib.BilinearResize2D(x, **self._up_kwargs)
      return self.block(F.concat(c1, x, dim=1))
  
imports: from mxnet.gluon import nn
  from mxnet.context import cpu
  from mxnet.gluon.nn import HybridBlock
  from .wideresnet import wider_resnet38_a2
label_desc: Use image node_id 3 for calling the _DeepLabHead obj's underlying member method code with example usage: obj.demo(x, c1) and returns: self