code: def testBatchedOperationConverges(self):
      model_1 = self.make_dataset(n=10, d=3, link="linear")
      model_2 = self.make_dataset(n=10, d=3, link="probit")
      model_matrices = [model_1[0], model_2[0]]
      responses = [model_1[1], model_2[1]]
  
      _, _, is_converged, _ = self.evaluate(
          fisher_scoring.fit(
              model_matrices,
              responses,
              family.Normal(),
              fast_unsafe_numerics=self.fast,
              maximum_iterations=10,
          )
      )
      self.assertTrue(is_converged)
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.glm import family
  from tensorflow_probability.python.glm import fisher_scoring
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the FitTestFast obj's underlying member method code with example usage: obj.testBatchedOperationConverges() without return types