code: def testSkellamShape(self):
      rate1 = tf.constant([3.0] * 5, dtype=self.dtype)
      rate2 = tf.constant([3.0] * 4, dtype=self.dtype)[..., tf.newaxis]
      dist = self._make_skellam(rate1=rate1, rate2=rate2)
  
      self.assertAllEqual(
          self.evaluate(dist.batch_shape_tensor()), (4, 5)
      )
      self.assertEqual(dist.batch_shape, tf.TensorShape([4, 5]))
      self.assertAllEqual(self.evaluate(dist.event_shape_tensor()), [])
      self.assertEqual(dist.event_shape, tf.TensorShape([]))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import skellam
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 2 for calling the _SkellamTest obj's underlying member method code with example usage: obj.testSkellamShape() without return types