code: def convert_to_visualize(graph_ir, vgraph):
      for name, graph in graph_ir.items():
          if name == "_evaluator":
              continue
          with vgraph.subgraph(name="cluster" + name) as subgraph:
              subgraph.attr(color="blue")
              cell_node = {}
              ioput = {
                  "_inputs": "{}-{}".format(
                      name, "_".join(graph["inputs"])
                  ),
                  "_outputs": "{}-{}".format(
                      name, "_".join(graph["outputs"])
                  ),
              }
              subgraph.node(ioput["_inputs"])
              subgraph.node(ioput["_outputs"])
              for node_name, node_value in graph["nodes"].items():
                  value = node_value["operation"]
                  if value["type"] == "_cell":
                      cell_input_name = "{}-{}".format(
                          value["cell_name"],
                          "_".join(
                              graph_ir[value["cell_name"]]["inputs"]
                          ),
                      )
                      cell_output_name = "{}-{}".format(
                          value["cell_name"],
                          "_".join(
                              graph_ir[value["cell_name"]]["outputs"]
                          ),
                      )
                      cell_node[node_name] = (
                          cell_input_name,
                          cell_output_name,
                      )
                      print(
                          "cell: ",
                          node_name,
                          cell_input_name,
                          cell_output_name,
                      )
                  else:
                      subgraph.node(node_name)
              for edge in graph["edges"]:
                  src = edge["head"][0]
                  if src == "_inputs":
                      src = ioput["_inputs"]
                  elif src in cell_node:
                      src = cell_node[src][1]
                  dst = edge["tail"][0]
                  if dst == "_outputs":
                      dst = ioput["_outputs"]
                  elif dst in cell_node:
                      dst = cell_node[dst][0]
                  subgraph.edge(src, dst)
  
label_desc: Use image node_id 1 for calling a global function with example usage: convert_to_visualize(graph_ir, vgraph) without return types