code: def testFullyReparameterized(self):
      lam = constant_op.constant([0.1, 1.0])
      with backprop.GradientTape() as tape:
          tape.watch(lam)
          exponential = exponential_lib.Exponential(rate=lam)
          samples = exponential.sample(100)
      grad_lam = tape.gradient(samples, lam)
      self.assertIsNotNone(grad_lam)
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.distributions import exponential
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 10 for calling the ExponentialTest obj's underlying member method code with example usage: obj.testFullyReparameterized() without return types