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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# ============================================================================
15import numpy as np
16import pytest
17
18import mindspore.context as context
19import mindspore.nn as nn
20from mindspore import Tensor
21
22context.set_context(mode=context.GRAPH_MODE, device_target='CPU')
23
24
25@pytest.mark.level0
26@pytest.mark.platform_x86_cpu
27@pytest.mark.env_onecard
28def test_avgpool_k2s1pv():
29    x = np.arange(1 * 1 * 6 * 6).reshape((1, 1, 6, 6)).astype(np.float32)
30    net = nn.AvgPool2d(kernel_size=2, stride=1, pad_mode='valid')
31    out = net(Tensor(x))
32    print(out)
33    expect_result = np.array(
34        [[[[3.5, 4.5, 5.5, 6.5, 7.5],
35           [9.5, 10.5, 11.5, 12.5, 13.5],
36           [15.5, 16.5, 17.5, 18.5, 19.5],
37           [21.5, 22.5, 23.5, 24.5, 25.5],
38           [27.5, 28.5, 29.5, 30.5, 31.5]]]]
39    )
40    assert np.allclose(out.asnumpy(), expect_result)
41
42
43@pytest.mark.level0
44@pytest.mark.platform_x86_cpu
45@pytest.mark.env_onecard
46def test_avgpool_k2s2pv():
47    x = np.arange(1 * 1 * 6 * 6).reshape((1, 1, 6, 6)).astype(np.float32)
48    net = nn.AvgPool2d(kernel_size=2, stride=2, pad_mode='valid')
49    out = net(Tensor(x))
50    print(out)
51    expect_result = np.array(
52        [[[[3.5, 5.5, 7.5],
53           [15.5, 17.5, 19.5],
54           [27.5, 29.5, 31.5]]]]
55    )
56    assert np.allclose(out.asnumpy(), expect_result)
57
58
59@pytest.mark.level0
60@pytest.mark.platform_x86_cpu
61@pytest.mark.env_onecard
62def test_avgpool_k3s2pv():
63    x = np.arange(1 * 1 * 6 * 6).reshape((1, 1, 6, 6)).astype(np.float32)
64    net = nn.AvgPool2d(kernel_size=3, stride=2, pad_mode='valid')
65    out = net(Tensor(x))
66    print(out)
67    expect_result = np.array(
68        [[[[7., 9.],
69           [19., 21.]]]]
70    )
71    assert np.allclose(out.asnumpy(), expect_result)
72
73
74@pytest.mark.level0
75@pytest.mark.platform_x86_cpu
76@pytest.mark.env_onecard
77def test_avgpool_k3s2ps():
78    x = np.arange(1 * 1 * 6 * 6).reshape((1, 1, 6, 6)).astype(np.float32)
79    net = nn.AvgPool2d(kernel_size=3, stride=2, pad_mode='same')
80    out = net(Tensor(x))
81    print(out)
82    expect_result = np.array(
83        [[[[7., 9., 10.5],
84           [19., 21., 22.5],
85           [28., 30., 31.5]]]]
86    )
87    assert np.allclose(out.asnumpy(), expect_result)
88
89
90if __name__ == '__main__':
91    test_avgpool_k2s1pv()
92    test_avgpool_k2s2pv()
93    test_avgpool_k3s2pv()
94    test_avgpool_k3s2ps()
95