code: def testShape(self):
      loc = rng.rand(2, 3, 4)
      dist = det.Deterministic(loc, validate_args=True)
  
      self.assertAllEqual(
          self.evaluate(dist.batch_shape_tensor()), (2, 3, 4)
      )
      self.assertAllEqual(dist.batch_shape, (2, 3, 4))
      self.assertAllEqual(self.evaluate(dist.event_shape_tensor()), [])
      self.assertEqual(dist.event_shape, tf.TensorShape([]))
  
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 1 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testShape() without return types