code: def testLogLogisticLogPDFScaleBatch(self):
      log_logistic_scale = [1.5, 2.0]
      loc = np.log(log_logistic_scale)
      scale = np.array([2.5, 5.0])
      dist = loglogistic.LogLogistic(
          loc=loc, scale=scale, validate_args=True
      )
  
      x = np.array([2.0], dtype=np.float32)
  
      log_pdf = dist.log_prob(x)
  
      self.assertAllClose(
          self.evaluate(log_pdf),
          stats.fisk.logpdf(
              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 11 for calling the LogLogisticTest obj's underlying member method code with example usage: obj.testLogLogisticLogPDFScaleBatch() without return types