forked from mindspore-Ecosystem/mindspore
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
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# Copyright 2020-2022 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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"""
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test pooling api
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"""
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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.common.api import _cell_graph_executor
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class Dropout1dNet(nn.Cell):
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def __init__(self, p):
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super(Dropout1dNet, self).__init__()
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self.dropout1 = nn.Dropout1d(p)
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def construct(self, x):
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return self.dropout1(x)
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def test_dropout1_normal():
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"""
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Feature: dropout1d
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Description: Verify the result of Dropout1d
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Expectation: success
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"""
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x = Tensor(np.random.randn(4, 3).astype(np.float32))
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net = Dropout1dNet(p=0.5)
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_cell_graph_executor.compile(net, x)
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