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1# Copyright 2021 Huawei Technologies Co., Ltd
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ============================================================================
15"""Export net test."""
16import os
17import numpy as np
18import pytest
19
20import mindspore as ms
21import mindspore.nn as nn
22from mindspore import context
23from mindspore.common.tensor import Tensor
24from mindspore.train.serialization import export
25
26
27class SliceNet(nn.Cell):
28    def __init__(self):
29        super().__init__()
30        self.relu = nn.ReLU()
31
32    def construct(self, x, y):
33        x = self.relu(x)
34        x[2,] = y
35        return x
36
37
38@pytest.mark.level0
39@pytest.mark.platform_x86_ascend_training
40@pytest.mark.platform_arm_ascend_training
41@pytest.mark.env_onecard
42def test_export_slice_net():
43    context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
44    input_x = Tensor(np.random.rand(4, 4, 4), ms.float32)
45    input_y = Tensor(np.array([1]), ms.float32)
46    net = SliceNet()
47    file_name = "slice_net"
48    export(net, input_x, input_y, file_name=file_name, file_format='AIR')
49    verify_name = file_name + ".air"
50    assert os.path.exists(verify_name)
51    os.remove(verify_name)
52    export(net, input_x, input_y, file_name=file_name, file_format='MINDIR')
53
54    verify_name = file_name + ".mindir"
55    assert os.path.exists(verify_name)
56    os.remove(verify_name)
57