code: def testGammaGammaLogPDFMultidimensionalBroadcasting(self):
      batch_size = 6
      alpha = tf.constant([[2.0, 4.0]] * batch_size, dtype=np.float32)
      alpha0 = tf.constant(3.0, dtype=np.float32)
      beta0 = tf.constant([4.0, 8.0], dtype=np.float32)
      x = np.array([[2.5, 2.5, 4.0, 0.1, 1.0, 2.0]], dtype=np.float32).T
  
      gg = gamma_gamma.GammaGamma(
          concentration=alpha,
          mixing_concentration=alpha0,
          mixing_rate=beta0,
          validate_args=True,
      )
      log_pdf = gg.log_prob(x)
      self.assertEqual(log_pdf.shape, (6, 2))
  
file_path: probability/tensorflow_probability/python/distributions/gamma_gamma_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import gamma_gamma
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 7 for calling the GammaGammaTest obj's underlying member method code with example usage: obj.testGammaGammaLogPDFMultidimensionalBroadcasting() without return types