code: def network_structure_5():
      # the subgraph has two duplicate input entries
      data = mx.sym.var("data", shape=(2, 3, 10, 10))
      ret = data + data
      return (ret, ["data"], [(2, 3, 10, 10)])
  
imports: import os
  import sys
  import ctypes
  import mxnet
  from mxnet.base import SymbolHandle, check_call, _LIB, mx_uint, c_str_array, c_str, mx_real_t
  from mxnet.symbol import Symbol
  import numpy
  from mxnet.test_utils import assert_almost_equal, environment
  from mxnet import gluon
  from mxnet.gluon import nn
  from mxnet import nd, npx
  import pytest
  import tempfile
label_desc: Use image node_id 5 for calling a global function with example usage: network_structure_5() and returns: ret,  list,  list