message: Use try_run_and_except_connection_error on multi_worker_continuous_run_test to avoid flakiness.
  TODO: Configure fail_fast flag so this is solved in all multi_worker_runner cases.
diff: @@ -26,6 +26,7 @@ import numpy as np
  from tensorflow.python.distribute import collective_all_reduce_strategy
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import multi_process_runner
  +from tensorflow.python.distribute import multi_process_runner_util
  from tensorflow.python.distribute import multi_worker_test_base as test_base
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.eager import context
  @@ -75,6 +76,8 @@ class MultiWorkerContinuousRunTest(test.TestCase, parameterized.TestCase):
  for _ in range(100):
  worker_step_fn()
  + # TODO(b/141948186): Remove this `with` block once b/141948186 is resolved.
  + with multi_process_runner_util.try_run_and_except_connection_error(self):
  multi_process_runner.MultiProcessRunner().run(
  worker_fn,
  cluster_spec=test_base.create_cluster_spec(num_workers=num_workers))
  