code: def testLaplaceLogPDFMultidimensional(self):
      batch_size = 6
      loc = tf.constant([[2.0, 4.0]] * batch_size)
      scale = tf.constant([[3.0, 4.0]] * batch_size)
      loc_v = np.array([2.0, 4.0])
      scale_v = np.array([3.0, 4.0])
      x = np.array([[2.5, 2.5, 4.0, 0.1, 1.0, 2.0]], dtype=np.float32).T
      dist = laplace.Laplace(loc=loc, scale=scale, validate_args=True)
      log_pdf = dist.log_prob(x)
      log_pdf_values = self.evaluate(log_pdf)
      self.assertEqual(log_pdf.shape, (6, 2))
  
      pdf = dist.prob(x)
      pdf_values = self.evaluate(pdf)
      self.assertEqual(pdf.shape, (6, 2))
      expected_log_pdf = sp_stats.laplace.logpdf(
          x, loc_v, scale=scale_v
      )
      self.assertAllClose(log_pdf_values, expected_log_pdf)
      self.assertAllClose(pdf_values, 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 3 for calling the LaplaceTest obj's underlying member method code with example usage: obj.testLaplaceLogPDFMultidimensional() without return types