code: def testAlphaProperty(self):
      alpha = [[1.0, 2, 3]]
      dist = dm.DirichletMultinomial(1, alpha, validate_args=True)
      self.assertEqual([1, 3], dist.concentration.shape)
      self.assertAllClose(alpha, self.evaluate(dist.concentration))
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import dirichlet_multinomial
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 5 for calling the DirichletMultinomialTest obj's underlying member method code with example usage: obj.testAlphaProperty() without return types