code: def testInverseGammaEntropy(self):
      alpha_v = np.array([1.0, 3.0, 2.5])
      beta_v = np.array([1.0, 4.0, 5.0])
      expected_entropy = stats.invgamma.entropy(alpha_v, scale=beta_v)
      inv_gamma = inverse_gamma.InverseGamma(
          concentration=alpha_v, scale=beta_v, validate_args=True
      )
      self.assertEqual(inv_gamma.entropy().shape, (3,))
      self.assertAllClose(
          self.evaluate(inv_gamma.entropy()), expected_entropy
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import inverse_gamma
  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 InverseGammaTest obj's underlying member method code with example usage: obj.testInverseGammaEntropy() without return types