code: def get_graph_obj_for_benchmark(graph_obj, backend_wrapper):
      """
      Given a Graph object and a backend name, return a converted Graph or the
      original Graph object based on the backend to use.
  
      This is needed because some backend names are actually used as descriptions
      for combinations of backends and converted/non-converted graphs.  For
      example, a benchmark may specify the "cugraph-preconverted" backend, which
      is not an installed backend but instead refers to the "cugraph" backend
      passed a NX Graph that has been converted to a nx-cugraph Graph object.
      """
      G = graph_obj
      if backend_wrapper.backend_name == "cugraph-preconverted":
          G = nxcg.from_networkx(G)
      return G
  
imports: import random
  import networkx
  import pandas
  import pytest
  from cugraph import datasets
  import nx_cugraph
label_desc: Use image node_id 8 for calling a global function with example usage: get_graph_obj_for_benchmark(graph_obj, backend_wrapper) and returns: G