code: def testChi2CDF(self):
      batch_size = 6
      df = tf.constant([2.0] * batch_size, dtype=np.float64)
      df_v = 2.0
      x = np.array([2.5, 2.5, 4.0, 0.1, 1.0, 2.0], dtype=np.float64)
  
      dist = chi2.Chi2(df=df, validate_args=True)
      expected_cdf = stats.chi2.cdf(x, df_v)
  
      cdf = dist.cdf(x)
      self.assertEqual(cdf.shape, (6,))
      self.assertAllClose(self.evaluate(cdf), expected_cdf)
  
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 4 for calling the Chi2Test obj's underlying member method code with example usage: obj.testChi2CDF() without return types