code: def testLogLogisticCDFScaleBatch(self):
      log_logistic_scale = [0.5, 1.5]
      loc = np.log(log_logistic_scale)
      scale = np.array([0.5, 2.0])
      dist = loglogistic.LogLogistic(
          loc=loc, scale=scale, validate_args=True
      )
  
      x = np.array([[1e-4, 2.0], [5.0, 2.0]], dtype=np.float32)
  
      cdf = dist.cdf(x)
      self.assertAllClose(
          self.evaluate(cdf),
          stats.fisk.cdf(
              x, loc=0.0, scale=log_logistic_scale, c=1.0 / scale
          ),
      )
  
imports: import numpy
  from scipy import stats
  from tensorflow_probability.python.distributions import loglogistic
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 13 for calling the LogLogisticTest obj's underlying member method code with example usage: obj.testLogLogisticCDFScaleBatch() without return types