forked from mindspore-Ecosystem/mindspore
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
# Copyright 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 channel_shuffle api
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"""
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import numpy as np
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import mindspore as ms
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import mindspore.nn as nn
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from mindspore.common.api import _cell_graph_executor
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class ChannelShuffleNet(nn.Cell):
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"""ChannelShuffle"""
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def __init__(self, groups):
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super(ChannelShuffleNet, self).__init__()
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self.channel_shuffle = nn.ChannelShuffle(groups)
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def construct(self, x):
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return self.channel_shuffle(x)
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def test_compile_channel_shuffle():
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"""
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Feature: Test ChannelShuffleNet
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Description: Test the functionality of ChannelShuffle
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Expectation: Success
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"""
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net = ChannelShuffleNet(2)
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x = ms.Tensor(np.arange(16).astype(np.int32).reshape(1, 4, 2, 2))
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_cell_graph_executor.compile(net, x)
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