code: def testNormalEntropyWithScalarInputs(self):
      # Scipy.stats.norm cannot deal with the shapes in the other test.
      mu_v = 2.34
      sigma_v = 4.56
      normal = normal_lib.Normal(loc=mu_v, scale=sigma_v)
  
      entropy = normal.entropy()
      self.assertAllEqual(
          self.evaluate(normal.batch_shape_tensor()),
          entropy.get_shape(),
      )
      self.assertAllEqual(
          self.evaluate(normal.batch_shape_tensor()),
          self.evaluate(entropy).shape,
      )
      self.assertAllEqual(normal.batch_shape, entropy.get_shape())
      self.assertAllEqual(
          normal.batch_shape, self.evaluate(entropy).shape
      )
      # scipy.stats.norm cannot deal with these shapes.
      if not stats:
          return
      expected_entropy = stats.norm(mu_v, sigma_v).entropy()
      self.assertAllClose(expected_entropy, self.evaluate(entropy))
  
imports: import importlib
  import math
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  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 gradients_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.ops.distributions import normal
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 16 for calling the NormalTest obj's underlying member method code with example usage: obj.testNormalEntropyWithScalarInputs() without return types