diff --git a/python/paddle/fluid/tests/unittests/test_parallel_executor_crf.py b/python/paddle/fluid/tests/unittests/test_parallel_executor_crf.py
index 163975555ec2cea5c169cc1da3c4324d91ba3616..1ea7a6a5682318fb5f4ef8b3a08911df3cd44acf 100644
--- a/python/paddle/fluid/tests/unittests/test_parallel_executor_crf.py
+++ b/python/paddle/fluid/tests/unittests/test_parallel_executor_crf.py
@@ -173,6 +173,7 @@ class TestCRFModel(unittest.TestCase):
                           pe.run(feed=feeder.feed(cur_batch),
                                  fetch_list=[avg_cost.name]))[0]
 
+    @unittest.skip(reason="CI hangs")
     def test_update_sparse_parameter_all_reduce(self):
         build_strategy = fluid.BuildStrategy()
         build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.AllReduce
@@ -181,6 +182,7 @@ class TestCRFModel(unittest.TestCase):
         self.check_network_convergence(
             is_sparse=True, build_strategy=build_strategy, use_cuda=False)
 
+    @unittest.skip(reason="CI hangs")
     def test_update_dense_parameter_all_reduce(self):
         build_strategy = fluid.BuildStrategy()
         build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.AllReduce
@@ -189,6 +191,7 @@ class TestCRFModel(unittest.TestCase):
         self.check_network_convergence(
             is_sparse=False, build_strategy=build_strategy, use_cuda=False)
 
+    @unittest.skip(reason="CI hangs")
     def test_update_sparse_parameter_reduce(self):
         build_strategy = fluid.BuildStrategy()
         build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.Reduce
@@ -197,6 +200,7 @@ class TestCRFModel(unittest.TestCase):
         self.check_network_convergence(
             is_sparse=True, build_strategy=build_strategy, use_cuda=False)
 
+    @unittest.skip(reason="CI hangs")
     def test_update_dense_parameter_reduce(self):
         build_strategy = fluid.BuildStrategy()
         build_strategy.reduce_strategy = fluid.BuildStrategy.ReduceStrategy.Reduce