!39216 Add testcase to watch complex control testcase core dump

Merge pull request !39216 from chenfei_mindspore/master-develop

mindspore/core/abstract/abstract_value.cc

@@ -351,7 +351,7 @@ void CheckSequenceNodesValid(const AnfNodeWeakPtrList &sequence_nodes) {
       MS_LOG(ERROR) << "current_sequence_node is null.";
       return;
     }
-    MS_LOG(ERROR) << "sequence_nodes[" << i << "]: " << current_sequence_node << "/"
+    MS_LOG(DEBUG) << "sequence_nodes[" << i << "]: " << current_sequence_node << "/"
                   << current_sequence_node->DebugString()
                   << ", flags: " << GetSequenceNodeElementsUseFlags(current_sequence_node);
   }

tests/st/control/test_complex_for_if_core_dump.py

@@ -0,0 +1,77 @@
+# 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([(- 2)], dtype.float32), name='bias')
+
+    def construct(self, x, y):
+        if self.w != 3:
+            self.b = 3 + x
+            if self.w == self.b:
+                self.w = self.b + y
+                return self.b
+            if x <= self.w:
+                return x
+        elif self.b >= y:
+            for _ in range(2):
+                x = 2 + y
+                if x != 3:
+                    pass
+        elif y <= 3:
+            while x == self.w:
+                return y
+        for f in range(2):
+            if x != self.w:
+                x = 3 + x
+                x = f / y
+                self.w = y + x
+            elif self.w >= 1:
+                return x
+            elif self.w > y:
+                return self.w
+            elif self.w != 5:
+                return self.b
+            else:
+                return self.w
+            if y == self.b:
+                continue
+        return x + y
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_gpu_training
+@pytest.mark.env_onecard
+def test_watch_core_dump():
+    """
+    Feature: Control flow.
+    Description: This complex control flow testcase has been cause core dump before, so add this case to watch graph
+        compiling.
+    Expectation: No core dump happened.
+    """
+    x = np.array([4], np.float32)
+    y = np.array([5], np.float32)
+    net1 = Net()
+    grad_net = F.grad(net1, grad_position=(0, 1))
+    grad_net(Tensor(x), Tensor(y))