code: def testShapes(self):
      for batch_shape in ([], [1], [2, 3, 4]):
          temperature = 1.0
          p = np.random.random(batch_shape).astype(np.float32)
          dist = relaxed_bernoulli.RelaxedBernoulli(
              temperature, probs=p, validate_args=True
          )
          self.assertAllEqual(
              batch_shape, tensorshape_util.as_list(dist.batch_shape)
          )
          self.assertAllEqual(
              batch_shape, self.evaluate(dist.batch_shape_tensor())
          )
          self.assertAllEqual(
              [], tensorshape_util.as_list(dist.event_shape)
          )
          self.assertAllEqual(
              [], self.evaluate(dist.event_shape_tensor())
          )
  
imports: import numpy
  import scipy.special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import relaxed_bernoulli
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the RelaxedBernoulliTest obj's underlying member method code with example usage: obj.testShapes() without return types