code: def testFullyReparameterized(self):
      a = constant_op.constant(0.1)
      b = constant_op.constant(0.8)
      with backprop.GradientTape() as tape:
          tape.watch(a)
          tape.watch(b)
          uniform = uniform_lib.Uniform(a, b)
          samples = uniform.sample(100)
      grad_a, grad_b = tape.gradient(samples, [a, b])
      self.assertIsNotNone(grad_a)
      self.assertIsNotNone(grad_b)
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import uniform
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 17 for calling the UniformTest obj's underlying member method code with example usage: obj.testFullyReparameterized() without return types