code: def testLaplaceLogPDF(self):
      batch_size = 6
      loc = tf.constant([2.0] * batch_size)
      scale = tf.constant([3.0] * batch_size)
      loc_v = 2.0
      scale_v = 3.0
      x = np.array([2.5, 2.5, 4.0, 0.1, 1.0, 2.0], dtype=np.float32)
      dist = laplace.Laplace(loc=loc, scale=scale, validate_args=True)
      log_pdf = dist.log_prob(x)
      self.assertEqual(log_pdf.shape, (6,))
      expected_log_pdf = sp_stats.laplace.logpdf(
          x, loc_v, scale=scale_v
      )
      self.assertAllClose(self.evaluate(log_pdf), expected_log_pdf)
  
      pdf = dist.prob(x)
      self.assertEqual(pdf.shape, (6,))
      self.assertAllClose(self.evaluate(pdf), np.exp(expected_log_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 laplace
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 2 for calling the LaplaceTest obj's underlying member method code with example usage: obj.testLaplaceLogPDF() without return types