diff --git a/tests/st/control/test_control_flow_for_mindrt.py b/tests/st/control/test_control_flow_for_mindrt.py
new file mode 100644
index 00000000000..fa1e3b8f19d
--- /dev/null
+++ b/tests/st/control/test_control_flow_for_mindrt.py
@@ -0,0 +1,63 @@
+# Copyright 2022 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import numpy as np
+import pytest
+import mindspore
+from mindspore import context, nn, ops, Tensor, Parameter
+
+
+class Net(nn.Cell):
+    def __init__(self):
+        super().__init__()
+        self.print = ops.Print()
+        self.param_a = Parameter(Tensor(5, mindspore.int32), name='a')
+        self.param_b = Parameter(Tensor(4, mindspore.int32), name='b')
+
+    def construct(self, x):
+        out = 0
+        for _ in range(2):
+            out += self.func1(x)
+        return out
+
+    def func1(self, x):
+        out = x
+        i = 0
+        while i < 1:
+            out += self.func2(x)
+            i = i + 1
+            self.print(out)
+        return out
+
+    def func2(self, x):
+        if x > 10:
+            return self.param_a
+        return self.param_b
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_repeat_control_arrow_for_stack_actor():
+    """
+    Feature: Runtime.
+    Description: Duplicate side effects depend on stack actors..
+    Expectation: No exception.
+    """
+    context.set_context(mode=context.GRAPH_MODE)
+    x = Tensor(np.array([1]), mindspore.int32)
+    net = Net()
+    out = net(x)
+    result = 10
+    assert out == result