code: def test_simple_imputer_no_nan_inputs(self):
      model = SimpleImputer(missing_values=0, strategy="most_frequent")
      data = np.array([[1, 2], [1, 3], [7, 6]], dtype=np.float32)
  
      for backend in ["torch", "torch.jit"]:
          self._test_simple_imputer(model, data, backend)
  
imports: import unittest
  import warnings
  import numpy
  import torch
  from sklearn.impute import MissingIndicator, SimpleImputer
  from hummingbird.ml._utils import onnx_runtime_installed, tvm_installed
  import hummingbird.ml
label_desc: Use image node_id 3 for calling the TestSklearnSimpleImputer obj's underlying member method code with example usage: obj.test_simple_imputer_no_nan_inputs() without return types