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# Copyright 2020 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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""" test if function""" |
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import numpy as np |
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import mindspore.nn as nn |
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from mindspore import Tensor |
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from mindspore import context |
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context.set_context(mode=context.GRAPH_MODE) |
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def test_if_function(): |
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class Net(nn.Cell): |
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def __init__(self, func): |
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super(Net, self).__init__() |
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self.func = func |
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def construct(self, x, y): |
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if self.func: |
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return self.func(x, y) |
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return x - y |
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def add(x, y): |
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return x + y |
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net = Net(add) |
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x = Tensor(np.ones([1, 2, 3], np.int32)) |
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y = Tensor(np.ones([1, 2, 3], np.int32)) |
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net(x, y) |