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_lib.Dirichlet(alpha)
      pdf = dist.prob(x)
      self.assertAllClose([2.0, 2.0], self.evaluate(pdf))
      self.assertEqual((2), pdf.get_shape())
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import dirichlet
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 8 for calling the DirichletTest obj's underlying member method code with example usage: obj.testPdfUniformZeroBatches() without return types