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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""" test flatten"""
16import pytest
17
18import mindspore.nn as nn
19import mindspore.common.dtype as mstype
20from mindspore import Tensor
21from mindspore import context
22
23context.set_context(mode=context.GRAPH_MODE)
24
25
26def test_flatten():
27    class Net(nn.Cell):
28        def __init__(self):
29            super(Net, self).__init__()
30            self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
31
32        def construct(self):
33            return self.value.flatten()
34
35    net = Net()
36    net()
37
38
39def test_flatten_1():
40    class Net(nn.Cell):
41        def __init__(self):
42            super(Net, self).__init__()
43            self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
44
45        def construct(self):
46            return self.value.flatten(order='F')
47
48    net = Net()
49    net()
50
51
52def test_flatten_error():
53    class Net(nn.Cell):
54        def __init__(self):
55            super(Net, self).__init__()
56            self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
57
58        def construct(self):
59            return self.value.flatten(order='X')
60
61    net = Net()
62    with pytest.raises(ValueError):
63        net()
64
65
66def test_flatten_error_1():
67    class Net(nn.Cell):
68        def __init__(self):
69            super(Net, self).__init__()
70            self.value = Tensor([[1, 2, 3], [4, 5, 6]], dtype=mstype.float32)
71
72        def construct(self):
73            return self.value.flatten(order=123)
74
75    net = Net()
76    with pytest.raises(TypeError):
77        net()
78