code: def testPdfAlphaStretchedInBroadcastWhenSameRank(self):
      a = [[1.0, 2]]
      b = [[1.0, 2]]
      x = [[0.5, 0.5], [0.3, 0.7]]
      dist = beta.Beta(a, b, validate_args=True)
      pdf = dist.prob(x)
      self.assertAllClose(
          [[1.0, 3.0 / 2], [1.0, 63.0 / 50]], self.evaluate(pdf)
      )
      self.assertEqual((2, 2), pdf.shape)
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 10 for calling the BetaTest obj's underlying member method code with example usage: obj.testPdfAlphaStretchedInBroadcastWhenSameRank() without return types