code: def testParamTensorFromProbs(self):
      x = tf.constant([0.1, 0.5, 0.4])
      d = probit_bernoulli.ProbitBernoulli(probs=x, validate_args=True)
      self.assertAllClose(
          *self.evaluate(
              [tf.math.ndtri(d.prob(1.0)), d.probits_parameter()]
          ),
          atol=0,
          rtol=1e-4,
      )
      self.assertAllClose(
          *self.evaluate([d.prob(1.0), d.probs_parameter()]),
          atol=0,
          rtol=1e-4,
      )
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import probit_bernoulli
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 24 for calling the ProbitBernoulliTest obj's underlying member method code with example usage: obj.testParamTensorFromProbs() without return types