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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- """ test_dropout """
- import numpy as np
-
- import mindspore.nn as nn
- from mindspore import Tensor
- from mindspore import context
- from mindspore import dtype as mstype
-
- context.set_context(device_target="Ascend")
-
-
- def test_check_dropout():
- x = Tensor(np.ones([20, 16, 50]), mstype.float32)
- m = nn.Dropout(0.8)
- m(x)
-
-
- class Net_Dropout(nn.Cell):
- def __init__(self):
- super(Net_Dropout, self).__init__()
- self.dropout = nn.Dropout(0.5)
-
- def construct(self, x):
- return self.dropout(x)
-
-
- def test_compile_dropout():
- net = Net_Dropout()
- input_data = Tensor(np.ones([20, 16, 50], dtype=np.float32))
- net(input_data)
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