code: def testNormalEntropyWithScalarInputs(self):
      # Scipy.sp_stats.norm cannot deal with the shapes in the other test.
      mu_v = 2.34
      sigma_v = 4.56
      dist = normal.Normal(loc=mu_v, scale=sigma_v, validate_args=True)
  
      entropy = dist.entropy()
      self.assertAllEqual(
          self.evaluate(dist.batch_shape_tensor()), entropy.shape
      )
      self.assertAllEqual(
          self.evaluate(dist.batch_shape_tensor()),
          self.evaluate(entropy).shape,
      )
      self.assertAllEqual(dist.batch_shape, entropy.shape)
      self.assertAllEqual(
          dist.batch_shape, self.evaluate(entropy).shape
      )
      # scipy.sp_stats.norm cannot deal with these shapes.
      expected_entropy = sp_stats.norm(mu_v, sigma_v).entropy()
      self.assertAllClose(expected_entropy, self.evaluate(entropy))
  
imports: import math
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 14 for calling the NormalTest obj's underlying member method code with example usage: obj.testNormalEntropyWithScalarInputs() without return types