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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 OpNetWrapper(nn.Cell):
28    def __init__(self, op):
29        super(OpNetWrapper, self).__init__()
30        self.op = op
31
32    def construct(self, *inputs):
33        return self.op(*inputs)
34
35
36@pytest.mark.level0
37@pytest.mark.platform_x86_cpu
38@pytest.mark.env_onecard
39def test_int32():
40    op = P.GreaterEqual()
41    op_wrapper = OpNetWrapper(op)
42
43    input_x = Tensor(np.array([1, 2, 3]).astype(np.int32))
44    input_y = Tensor(np.array([3, 2, 1]).astype(np.int32))
45    outputs = op_wrapper(input_x, input_y)
46
47    print(outputs)
48    assert outputs.shape == (3,)
49    assert np.allclose(outputs.asnumpy(), [False, True, True])
50
51
52@pytest.mark.level0
53@pytest.mark.platform_x86_cpu
54@pytest.mark.env_onecard
55def test_float32():
56    op = P.GreaterEqual()
57    op_wrapper = OpNetWrapper(op)
58
59    input_x = Tensor(np.array([1, 2, -1]).astype(np.float32))
60    input_y = Tensor(np.array([-3, 2, -1]).astype(np.float32))
61    outputs = op_wrapper(input_x, input_y)
62
63    print(outputs)
64    assert outputs.shape == (3,)
65    assert np.allclose(outputs.asnumpy(), [True, True, True])
66
67
68if __name__ == '__main__':
69    test_int32()
70    test_float32()
71