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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 tensor properties in graph mode"""
16
17import numpy as np
18
19import mindspore.nn as nn
20import mindspore.common.dtype as mstype
21from mindspore import Tensor
22from mindspore import context
23
24context.set_context(mode=context.GRAPH_MODE)
25
26
27def test_ndim():
28    class Net(nn.Cell):
29        def __init__(self):
30            super(Net, self).__init__()
31            self.value = Tensor(np.random.random(
32                (2, 3, 4, 5)), dtype=mstype.float32)
33
34        def construct(self):
35            return self.value.ndim
36
37    net = Net()
38    res = net()
39    assert res == 4
40
41
42def test_nbytes():
43    class Net(nn.Cell):
44        def __init__(self):
45            super(Net, self).__init__()
46            self.value = Tensor(np.random.random(
47                (2, 3, 4, 5)), dtype=mstype.float32)
48
49        def construct(self):
50            return self.value.nbytes
51
52    net = Net()
53    res = net()
54    assert res == 480
55
56
57def test_size():
58    class Net(nn.Cell):
59        def __init__(self):
60            super(Net, self).__init__()
61            self.value = Tensor(np.random.random(
62                (2, 3, 4, 5)), dtype=mstype.float32)
63
64        def construct(self):
65            return self.value.size
66
67    net = Net()
68    res = net()
69    assert res == 120
70
71
72def test_strides():
73    class Net(nn.Cell):
74        def __init__(self):
75            super(Net, self).__init__()
76            self.value = Tensor(np.random.random(
77                (2, 3, 4, 5)), dtype=mstype.float32)
78
79        def construct(self):
80            return self.value.strides
81
82    net = Net()
83    res = net()
84    assert res == (240, 80, 20, 4)
85
86
87def test_itemsize():
88    class Net(nn.Cell):
89        def __init__(self):
90            super(Net, self).__init__()
91            self.value1 = Tensor(np.random.random(
92                (2, 3, 4, 5)), dtype=mstype.float64)
93            self.value2 = Tensor(np.random.random(
94                (2, 3, 4, 5)), dtype=mstype.int32)
95            self.value3 = Tensor(np.random.random(
96                (2, 3, 4, 5)), dtype=mstype.bool_)
97
98        def construct(self):
99            return (self.value1.itemsize, self.value2.itemsize, self.value3.itemsize)
100
101    net = Net()
102    res = net()
103    assert res == (8, 4, 1)
104