code: def test_mlp_classifer_multi_tvm(self):
      self._test_mlp_classifer(
          3,
          backend="tvm",
          extra_config={constants.TVM_MAX_FUSE_DEPTH: 30},
      )
  
imports: import unittest
  import warnings
  import numpy
  import torch
  from sklearn.neural_network import MLPClassifier, MLPRegressor
  import hummingbird.ml
  from hummingbird.ml import constants
  from hummingbird.ml._utils import tvm_installed
label_desc: Use image node_id 9 for calling the TestSklearnMLPClassifier obj's underlying member method code with example usage: obj.test_mlp_classifer_multi_tvm() without return types