code: def testCdfWithNonzeroRTol(self):
      loc = [[1.0, 1.0], [100.0, 100.0]]
      x = [[0.9, 1.0], [99.9, 97]]
      dist = det.Deterministic(loc, rtol=0.01, validate_args=True)
      expected_cdf = [[0.0, 1.0], [1.0, 0.0]]
      cdf = dist.cdf(x)
      self.assertAllEqual((2, 2), cdf.shape)
      self.assertAllEqual(expected_cdf, self.evaluate(cdf))
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 14 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testCdfWithNonzeroRTol() without return types