add test case of tuple getiem err

tests/st/control/test_control_flow_infer.py

@@ -0,0 +1,73 @@
+# 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.
+# ============================================================================
+from mindspore.nn import Cell
+from mindspore.common import Tensor, dtype, Parameter
+import mindspore.ops.functional as F
+import numpy as np
+import pytest
+
+
+class Net(Cell):
+
+    def __init__(self):
+        super().__init__()
+        self.w = Parameter(Tensor([(- 2)], dtype.float32), name='weight')
+        self.b = Parameter(Tensor([(- 1)], dtype.float32), name='bias')
+
+    def construct(self, x, y):
+        if self.b < 1:
+            if x <= y:
+                self.b = x * self.w
+                y = 2 + y
+                self.w = x - 1
+            elif y <= self.w:
+                x = x - x
+            else:
+                x = self.b - x
+        elif self.w >= 4:
+            x = y * 2
+        if self.b <= 1:
+            y = 3 + x
+        elif self.b > 2:
+            if self.w >= 5:
+                x = 1 + y
+                x = x * self.b
+                self.w = self.w + x
+            elif x <= self.w:
+                self.w = y * y
+            elif self.b == self.w:
+                self.b = y - 3
+            elif self.b <= 3:
+                y = 1 / x
+        return x + y
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_can_not_be_operator_err():
+    """
+    Feature: Control flow.
+    Description: This test case failed before, add it to CI. Related issue: I5FLCG.
+    Expectation: No exception raised.
+    """
+    x = np.array([5], np.float32)
+    y = np.array([3], np.float32)
+    net = Net()
+    out = net(Tensor(x), Tensor(y))
+    print('ms forward: ', out)
+    grad_net = F.grad(net, grad_position=(0, 1))
+    fgrad = grad_net(Tensor(x), Tensor(y))
+    print('ms backward: ', fgrad)

tests/st/control/test_control_tuple_getitem_err.py

@@ -0,0 +1,55 @@
+# 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.
+# ============================================================================
+from mindspore.nn import Cell
+from mindspore.common import Tensor, dtype, Parameter
+import numpy as np
+import pytest
+
+
+class Net(Cell):
+
+    def __init__(self):
+        super().__init__()
+        self.w = Parameter(Tensor([(- 1)], dtype.float32), name='weight')
+        self.b = Parameter(Tensor([(- 5)], dtype.float32), name='bias')
+
+    def construct(self, x, y):
+        if y == x:
+            for a in range(2):
+                x = x - y
+                self.w = a * x
+                if self.w < 0:
+                    return x
+        elif self.b >= x:
+            for a in range(2):
+                x = x - x
+                y = y - 3
+        return x + y
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_tuple_getitem_err():
+    """
+    Feature: Control flow.
+    Description: This test case failed before, add it to CI. Related issue: I5G160.
+    Expectation: No exception raised.
+    """
+    x = np.array([2], np.float32)
+    y = np.array([1], np.float32)
+    net = Net()
+    out = net(Tensor(x), Tensor(y))
+    assert out == Tensor([3], dtype.float32)