code: def testChi2Mean(self):
      df_v = np.array([1.0, 3, 5], dtype=np.float64)
      expected_mean = stats.chi2.mean(df_v)
      dist = chi2.Chi2(df=df_v, validate_args=True)
      self.assertEqual(dist.mean().shape, (3,))
      self.assertAllClose(self.evaluate(dist.mean()), expected_mean)
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import chi2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 6 for calling the Chi2Test obj's underlying member method code with example usage: obj.testChi2Mean() without return types