forked from mindspore-Ecosystem/mindspore
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
# Copyright 2019 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0(the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http: // www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == == ==
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import numpy as np
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import pytest
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import mindspore.context as context
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore.common.api import ms_function
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from mindspore.common.initializer import initializer
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from mindspore.common.parameter import Parameter
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from mindspore.ops import operations as P
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x = np.random.uniform(-2, 2, (2, 3, 4, 4)).astype(np.float32)
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y = np.random.uniform(-2, 2, (1, 1, 1, 1)).astype(np.float32)
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context.set_context(device_target='CPU')
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.mul = P.Mul()
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self.x = Parameter(initializer(Tensor(x), x.shape), name='x3')
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self.y = Parameter(initializer(Tensor(y), y.shape), name='y3')
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@ms_function
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def construct(self):
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return self.mul(self.x, self.y)
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@pytest.mark.level0
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@pytest.mark.platform_x86_cpu
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@pytest.mark.env_onecard
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def test_Mul():
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mul = Net()
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output = mul()
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print(x)
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print(y)
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print(output)
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