code: def testUniformBroadcasting(self):
      a = 10.0
      b = [11.0, 20.0]
      dist = uniform.Uniform(a, b, validate_args=False)
  
      pdf = dist.prob([[10.5, 11.5], [9.0, 19.0], [10.5, 21.0]])
      expected_pdf = np.array([[1.0, 0.1], [0.0, 0.1], [1.0, 0.0]])
      self.assertAllClose(expected_pdf, self.evaluate(pdf))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 16 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformBroadcasting() without return types