code: def testProbWithNonzeroRTolIntegerType(self):
      loc = [[10, 10, 10], [10, 10, 10]]
      x = [[10, 20, 30], [10, 20, 30]]
      # Batch 0 will have rtol = 0
      # Batch 1 will have rtol = 1 (100% slack allowed)
      dist = det.Deterministic(loc, rtol=[[0], [1]], validate_args=True)
      expected_prob = [[1, 0, 0], [1, 1, 0]]
      prob = dist.prob(x)
      self.assertAllEqual((2, 3), prob.shape)
      self.assertAllEqual(expected_prob, self.evaluate(prob))
  
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 11 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testProbWithNonzeroRTolIntegerType() without return types