code: def testSliceThenCopyPreservesOrigVarGradLinkage(self):
      logits = tf.Variable(
          tf.random.normal([20, 3, 1, 5], seed=test_util.test_seed())
      )
      self.evaluate(logits.initializer)
      dist = continuous_bernoulli.ContinuousBernoulli(
          logits=logits, validate_args=True
      )
      dist = dist[:5]
      with tf.GradientTape() as tape:
          dist = dist.copy(name="contbern2")
          lp = dist.log_prob(0.1)
      dlpdlogits = tape.gradient(lp, logits)
      self.assertIn("contbern2", dist.name)
      self.assertIsNotNone(dlpdlogits)
      self.assertGreater(
          self.evaluate(tf.reduce_sum(tf.abs(dlpdlogits))), 0
      )
      with tf.GradientTape() as tape:
          dist = dist[:3]
          lp = dist.log_prob(0)
      dlpdlogits = tape.gradient(lp, logits)
      self.assertIn("contbern2", dist.name)
      self.assertIsNotNone(dlpdlogits)
      self.assertGreater(
          self.evaluate(tf.reduce_sum(tf.abs(dlpdlogits))), 0
      )
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import continuous_bernoulli
  from tensorflow_probability.python.distributions import kullback_leibler
  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 4 for calling the ContinuousBernoulliSlicingTest obj's underlying member method code with example usage: obj.testSliceThenCopyPreservesOrigVarGradLinkage() without return types