code: def test_parameter_file_load_save():
      module_creator = ModuleCreator(
          TSTNetNormal(), [(4, 3, 32, 32), (4, 3, 32, 32)]
      )
      proto_variable_inputs = module_creator.get_proto_variable_inputs()
      outputs = module_creator.module(*proto_variable_inputs)
      g = nn.graph_def.get_default_graph_by_variable(outputs)
  
      with create_temp_with_dir(nnp_file) as tmp_file:
          g.save(tmp_file)
          another = TSTNetNormal()
          variable_inputs = module_creator.get_variable_inputs()
          outputs = g(*variable_inputs)
          ref_outputs = another(*variable_inputs)
  
          # Should not equal
          with pytest.raises(AssertionError) as excinfo:
              forward_variable_and_check_equal(outputs, ref_outputs)
  
          # load to local scope
          with nn.parameter_scope("", another.parameter_scope):
              nn.load_parameters(tmp_file)
  
          another.update_parameter()
  
          ref_outputs = another(*variable_inputs)
          forward_variable_and_check_equal(outputs, ref_outputs)
  
imports: import os
  import io
  import pytest
  import numpy
  import nnabla
  import nnabla.functions
  import nnabla.parametric_functions
  from collections import OrderedDict
  from nnabla.testing import assert_allclose
  from nnabla.core.modules import ConvBn, ResUnit
  from helper import ModuleCreator, forward_variable_and_check_equal, create_temp_with_dir
label_desc: Use image node_id 3 for calling a global function with example usage: test_parameter_file_load_save() without return types