code: def testGammaGammaSampleConcentrationCausesBroadcast(self):
      gg = gamma_gamma.GammaGamma(
          concentration=[1.0, 2.0],
          mixing_concentration=1.0,
          mixing_rate=1.0,
          validate_args=True,
      )
      n = 3
      samples = self.evaluate(gg.sample(n, seed=test_util.test_seed()))
      self.assertAllEqual((n, 2), samples.shape)
  
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 12 for calling the GammaGammaTest obj's underlying member method code with example usage: obj.testGammaGammaSampleConcentrationCausesBroadcast() without return types