diff --git a/tests/st/export_and_load/test_net.py b/tests/st/export_and_load/test_net.py
new file mode 100644
index 00000000000..633e2c6b100
--- /dev/null
+++ b/tests/st/export_and_load/test_net.py
@@ -0,0 +1,56 @@
+# Copyright 2021 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.
+# ============================================================================
+"""Export net test."""
+import os
+import numpy as np
+import pytest
+
+import mindspore as ms
+import mindspore.nn as nn
+from mindspore import context
+from mindspore.common.tensor import Tensor
+from mindspore.train.serialization import export
+
+
+class SliceNet(nn.Cell):
+    def __init__(self):
+        super().__init__()
+        self.relu = nn.ReLU()
+
+    def construct(self, x, y):
+        x = self.relu(x)
+        x[2,] = y
+        return x
+
+
+@pytest.mark.level0
+@pytest.mark.platform_x86_ascend_training
+@pytest.mark.platform_arm_ascend_training
+@pytest.mark.env_onecard
+def test_export_slice_net():
+    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+    input_x = Tensor(np.random.rand(4, 4, 4), ms.float32)
+    input_y = Tensor(np.array([1]), ms.float32)
+    net = SliceNet()
+    file_name = "slice_net"
+    export(net, input_x, input_y, file_name=file_name, file_format='AIR')
+    verify_name = file_name + ".air"
+    assert os.path.exists(verify_name)
+    os.remove(verify_name)
+    export(net, input_x, input_y, file_name=file_name, file_format='MINDIR')
+
+    verify_name = file_name + ".mindir"
+    assert os.path.exists(verify_name)
+    os.remove(verify_name)