code: def testCdfWithDefaultTol(self):
      loc = [[0.0, 0.0], [0.0, 0.0]]
      x = [[-1.0, -0.1], [-0.01, 1.000001]]
      dist = det.Deterministic(loc, validate_args=True)
      expected_cdf = [[0.0, 0.0], [0.0, 1.0]]
      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 12 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testCdfWithDefaultTol() without return types