code: def testProbWithNonzeroATolIntegerType(self):
      loc = [[0, 1], [2, 3]]
      x = [[0, 2], [4, 2]]
      dist = det.Deterministic(loc, atol=1, validate_args=True)
      expected_prob = [[1, 1], [0, 1]]
      prob = dist.prob(x)
      self.assertAllEqual((2, 2), 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 8 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testProbWithNonzeroATolIntegerType() without return types