code: def testMoyalCdfMultidimensional(self):
      batch_size = 6
      loc = np.array([[2.0, 4.0, 5.0]] * batch_size, dtype=self.dtype)
      scale = np.array([1.0], dtype=self.dtype)
      x = np.array([[2.0, 3.0, 4.0, 5.0, 6.0, 7.0]], dtype=self.dtype).T
  
      dist = moyal.Moyal(
          loc=self.make_tensor(loc),
          scale=self.make_tensor(scale),
          validate_args=True,
      )
  
      log_cdf = dist.log_cdf(self.make_tensor(x))
      self.assertAllClose(
          self.evaluate(log_cdf),
          stats.moyal.logcdf(x, loc=loc, scale=scale),
      )
  
      cdf = dist.cdf(self.make_tensor(x))
      self.assertAllClose(
          self.evaluate(cdf), stats.moyal.cdf(x, loc=loc, scale=scale)
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import moyal
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 7 for calling the _MoyalTest obj's underlying member method code with example usage: obj.testMoyalCdfMultidimensional() without return types