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57 lines
1.7 KiB
57 lines
1.7 KiB
# 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_dropout """
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import numpy as np
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import pytest
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from mindspore.common.api import _executor
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore import dtype as mstype
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def test_check_dropout_1():
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x = Tensor(np.ones([20, 16, 50]), mstype.float32)
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m = nn.Dropout(0.8)
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with pytest.raises(NotImplementedError):
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m(x)
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def test_check_dropout_2():
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x = Tensor(np.ones([20, 16, 50]), mstype.float32)
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m = nn.Dropout(0.3, seed0=1)
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with pytest.raises(NotImplementedError):
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m(x)
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def test_check_dropout_3():
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x = Tensor(np.ones([20, 16, 50]), mstype.float32)
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m = nn.Dropout(0.3, seed0=1, seed1=1)
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with pytest.raises(NotImplementedError):
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m(x)
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class Net_Dropout(nn.Cell):
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def __init__(self):
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super(Net_Dropout, self).__init__()
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self.dropout = nn.Dropout(0.5)
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def construct(self, x):
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return self.dropout(x)
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def test_compile_dropout():
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net = Net_Dropout()
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input_data = Tensor(np.ones([20, 16, 50], dtype=np.float32))
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_executor.compile(net, input_data)
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