code: def mlp_module(x0, x1):
      h1_0 = PF.affine(x0, 100, name="affine1_0")
      h1_1 = PF.affine(x1, 100, name="affine1_1")
      h1 = F.tanh(h1_0 + h1_1)
      h2 = F.tanh(PF.affine(h1, 50, name="affine2"))
      y0 = PF.affine(h2, 10, name="affiney_0")
      y1 = PF.affine(h2, 10, name="affiney_1")
      return y0, y1
  
imports: import pytest
  import numpy
  import nnabla
  import nnabla.functions
  import nnabla.parametric_functions
  from nnabla.testing import assert_allclose
  from helper import get_saved_test_model, forward_variable_and_check_equal, forward_variable, assert_topology, dump_network_topology
  import legacy_nnp_graph
  from nnabla.utils import nnp_graph
label_desc: Use image node_id 2 for calling a global function with example usage: mlp_module(x0, x1) and returns: y0,  y1