code: def testPdfUniformZeroBatches(self):
      # Corresponds to a uniform distribution
      alpha = [1.0, 1, 1]
      x = [[0.2, 0.5, 0.3], [0.3, 0.4, 0.3]]
      dist = dirichlet.Dirichlet(alpha)
      pdf = dist.prob(x)
      self.assertAllClose([2.0, 2.0], self.evaluate(pdf))
      self.assertAllEqual([2], pdf.shape)
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import dirichlet
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 9 for calling the DirichletTest obj's underlying member method code with example usage: obj.testPdfUniformZeroBatches() without return types