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1# Copyright 2020 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
16import numpy as np
17import pytest
18
19import mindspore.context as context
20import mindspore.nn as nn
21from mindspore import Tensor
22from mindspore.ops import operations as P
23
24context.set_context(mode=context.GRAPH_MODE, device_target='CPU')
25
26
27class Net(nn.Cell):
28    def __init__(self):
29        super(Net, self).__init__()
30        self.dropout = P.Dropout()
31
32    def construct(self, x):
33        return self.dropout(x)
34
35
36@pytest.mark.level1
37@pytest.mark.platform_x86_cpu
38@pytest.mark.env_onecard
39def test_net():
40    x = np.random.randn(3, 3, 4).astype(np.float32)
41    dropout = Net()
42    output, mask = dropout(Tensor(x))
43    print(x)
44    print(output)
45    print(mask)
46
47
48class Net1(nn.Cell):
49    def __init__(self):
50        super(Net1, self).__init__()
51        self.dropout = P.Dropout(keep_prob=0.1)
52
53    def construct(self, x):
54        return self.dropout(x)
55
56
57@pytest.mark.level1
58@pytest.mark.platform_x86_cpu
59@pytest.mark.env_onecard
60def test_net1():
61    x = np.arange(0, 16).reshape(2, 2, 4).astype(np.float32)
62    dropout = Net1()
63    output, mask = dropout(Tensor(x))
64    print(x)
65    print(output)
66    print(mask)
67
68
69class Net2(nn.Cell):
70    def __init__(self):
71        super(Net2, self).__init__()
72        self.dropout = P.Dropout(keep_prob=1.0)
73
74    def construct(self, x):
75        return self.dropout(x)
76
77
78@pytest.mark.level1
79@pytest.mark.platform_x86_cpu
80@pytest.mark.env_onecard
81def test_net2():
82    x = np.arange(0, 12).reshape(3, 4).astype(np.float16)
83    dropout = Net2()
84    output, mask = dropout(Tensor(x))
85    print(x)
86    print(output)
87    print(mask)
88
89
90if __name__ == '__main__':
91    test_net()
92    test_net1()
93    test_net2()
94