code: def render(self):
      if self.node == None:
          inner = ""
          shape = [10, 20]
      elif self.node.op in ["Placeholder", "Softmax"]:
          inner = '<polygon points="0,10 5,20 15,20 20,10 15,0 5,0 0,10" %s></polygon>'
          shape = [20, 20]
      #     elif self.node.op in ["Concat", "ConcatV2"]:
      #       inner = ""
      #       shape = [3, 20]
  
      elif self.node.op in ["Concat", "ConcatV2"]:
          inner = "<rect width=10 height=20 rx=2 ry=2 x=4 %s></rect>"
          shape = [14, 20]
      elif self.node.op in ["MaxPool", "AvgPool"]:
          inner = '<polygon points=" 0,0 0,20 3,20 10,12 10,7 3,0 0,0 " %s></polygon>'
          shape = [10, 20]
      elif self.node.op in ["Add"]:
          inner = "<circle r=6 cx=5 cy=10 %s></circle>"
          shape = [12, 20]
      else:
          inner = "<rect width=10 height=20 rx=2 ry=2 %s></rect>"
          shape = [10, 20]
  
      if "%s" in inner:
          info = (
              """class="node" data-tf-name="%s" data-tf-op="%s" """
              % (self.node.name, self.node.op)
          )
          inner = inner % info
  
      inner = '<g transform="translate(%s, %s)">%s</g>' % (
          self.pad[0][0],
          self.pad[1][0],
          inner,
      )
      orig_shape = shape[:]
      shape[0] += self.pad[0][0] + self.pad[0][1]
      shape[1] += self.pad[1][0] + self.pad[1][1]
      return one_fragement(
          inner, shape, node=self.node, inner_shape=orig_shape
      )
  
imports: import numpy
  import tensorflow
  import lucid.modelzoo.vision_models
  import lucid.optvis.objectives
  import lucid.optvis.param
  import lucid.optvis.render
  from lucid.misc.io import show, load
  from lucid.misc.io.showing import _image_url, _display_html
  from collections import defaultdict
  from lucid.scratch.pretty_graphs.graph import *
label_desc: Use image node_id 3 for calling the LayoutNode obj's underlying member method code with example usage: obj.render() and returns: one_fragement