code: def simple_mlp():
      model = ModelHelper(name="r")
      brew.relu(
          model,
          brew.fc(
              model,
              brew.relu(
                  model, brew.fc(model, "data", "fc1", 10, 10), "rl1"
              ),
              "fc2",
              10,
              10,
          ),
          "rl2",
      )
      return model, [(1, 10)]
  
imports: import unittest
  import numpy
  import copy
  from hypothesis import given
  import hypothesis.strategies
  from caffe2.python.model_helper import ModelHelper
  from caffe2.python.models import resnet
  from caffe2.python import workspace, brew
  import caffe2.python.hypothesis_test_util
  import caffe2.python.mkl.rewrite_graph
label_desc: Use image node_id 5 for calling a global function with example usage: simple_mlp() and returns: model,  list