code: def testDirichletFullyReparameterized(self):
      alpha = constant_op.constant([1.0, 2.0, 3.0])
      with backprop.GradientTape() as tape:
          tape.watch(alpha)
          dirichlet = dirichlet_lib.Dirichlet(alpha)
          samples = dirichlet.sample(100)
      grad_alpha = tape.gradient(samples, alpha)
      self.assertIsNotNone(grad_alpha)
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import dirichlet
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 21 for calling the DirichletTest obj's underlying member method code with example usage: obj.testDirichletFullyReparameterized() without return types