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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# ============================================================================
15import numpy as np
16import pytest
17import mindspore.context as context
18import mindspore.nn as nn
19import mindspore.ops.operations.array_ops as P
20from mindspore import Tensor
21from mindspore.common.api import ms_function
22from mindspore.common.initializer import initializer
23from mindspore.common.parameter import Parameter
24
25context.set_context(mode=context.GRAPH_MODE, device_target='CPU')
26class SpaceToDepthNet(nn.Cell):
27    def __init__(self, nptype):
28        super(SpaceToDepthNet, self).__init__()
29        self.SpaceToDepth = P.SpaceToDepth(2)
30
31        data_np = np.array([[[[0, 3],
32                              [6, 9]],
33                             [[1, 4],
34                              [7, 10]],
35                             [[2, 5],
36                              [8, 11]]]]).astype(nptype)
37        self.data_np = data_np
38        self.x = Parameter(initializer(Tensor(self.data_np), (1, 3, 2, 2)), name='x')
39
40    @ms_function
41    def construct(self):
42        return self.SpaceToDepth(self.x)
43
44
45def SpaceToDepth(nptype):
46    expect = np.arange(12).reshape((1, 12, 1, 1)).astype(nptype)
47    std = SpaceToDepthNet(nptype)
48    output = std()
49    assert (output.asnumpy() == expect).all()
50
51@pytest.mark.level0
52@pytest.mark.platform_x86_cpu
53@pytest.mark.env_onecard
54def test_spacetodepth_graph_float32():
55    SpaceToDepth(np.float32)
56
57@pytest.mark.level0
58@pytest.mark.platform_x86_cpu
59@pytest.mark.env_onecard
60def test_spacetodepth_graph_float16():
61    SpaceToDepth(np.float16)
62
63@pytest.mark.level0
64@pytest.mark.platform_x86_cpu
65@pytest.mark.env_onecard
66def test_spacetodepth_graph_int32():
67    SpaceToDepth(np.int32)
68
69@pytest.mark.level0
70@pytest.mark.platform_x86_cpu
71@pytest.mark.env_onecard
72def test_spacetodepth_graph_int64():
73    SpaceToDepth(np.int64)
74
75@pytest.mark.level0
76@pytest.mark.platform_x86_cpu
77@pytest.mark.env_onecard
78def test_spacetodepth_graph_int8():
79    SpaceToDepth(np.int8)
80
81@pytest.mark.level0
82@pytest.mark.platform_x86_cpu
83@pytest.mark.env_onecard
84def test_spacetodepth_graph_int16():
85    SpaceToDepth(np.int16)
86
87@pytest.mark.level0
88@pytest.mark.platform_x86_cpu
89@pytest.mark.env_onecard
90def test_spacetodepth_graph_uint8():
91    SpaceToDepth(np.uint8)
92
93@pytest.mark.level0
94@pytest.mark.platform_x86_cpu
95@pytest.mark.env_onecard
96def test_spacetodepth_graph_uint16():
97    SpaceToDepth(np.uint16)
98
99@pytest.mark.level0
100@pytest.mark.platform_x86_cpu
101@pytest.mark.env_onecard
102def test_spacetodepth_graph_uint32():
103    SpaceToDepth(np.uint32)
104
105@pytest.mark.level0
106@pytest.mark.platform_x86_cpu
107@pytest.mark.env_onecard
108def test_spacetodepth_graph_uint64():
109    SpaceToDepth(np.uint64)
110