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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
16import numpy as np
17import pytest
18import mindspore.context as context
19import mindspore.nn as nn
20from mindspore import Tensor
21from mindspore.ops import operations as P
22
23
24class EqualCount(nn.Cell):
25    def __init__(self):
26        super(EqualCount, self).__init__()
27        self.op = P.EqualCount()
28
29    def construct(self, *inp):
30        return self.op(*inp)
31
32def get_output(*inp, enable_graph_kernel=False):
33    context.set_context(enable_graph_kernel=enable_graph_kernel)
34    output = EqualCount()(*inp)
35    return output
36
37def basic_test(datatype):
38    x = Tensor(np.array([[1, 1, 1, 1], [3, 3, 3, 3]]).astype(datatype))
39    y = Tensor(np.array([[1, 2, 1, 2], [1, 1, 3, 3]]).astype(datatype))
40    expect = get_output(x, y, enable_graph_kernel=False)
41    output = get_output(x, y, enable_graph_kernel=True)
42    expect_np = expect.asnumpy().copy()
43    output_np = output.asnumpy().copy()
44    assert np.allclose(expect_np, output_np, 1.e-4, 1.e-7)
45
46@pytest.mark.level0
47@pytest.mark.platform_x86_gpu_training
48@pytest.mark.env_onecard
49def test_gpu_fp16():
50    context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
51    basic_test(np.float16)
52
53@pytest.mark.level0
54@pytest.mark.platform_x86_gpu_training
55@pytest.mark.env_onecard
56def test_gpu_fp32():
57    context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
58    basic_test(np.float32)
59