forked from mindspore-Ecosystem/mindspore
49 lines
1.6 KiB
Python
49 lines
1.6 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 image api
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"""
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import numpy as np
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import mindspore
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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 PixelShuffleAndUnShuffleNet(nn.Cell):
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"""PixelShuffleAndUnShuffleNet"""
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def __init__(self):
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super(PixelShuffleAndUnShuffleNet, self).__init__()
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self.pixelshuffle = nn.PixelShuffle(3)
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self.pixelunshuffle = nn.PixelUnshuffle(3)
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def construct(self, x):
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output_shuffle = self.pixelshuffle(x)
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output_unshuffle = self.pixelunshuffle(output_shuffle)
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return output_unshuffle
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def test_compile_pixel_shuffle_unshuffle():
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"""
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Feature: Test PixelShuffleAndUnShuffle
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Description: Test the functionality of PixelShuffleAndUnShuffle
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Expectation: Success
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"""
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net = PixelShuffleAndUnShuffleNet()
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input_x = np.arange(3 * 2 * 9 * 4 * 4).reshape((3, 2, 9, 4, 4))
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input_x = mindspore.Tensor(input_x, mindspore.dtype.int32)
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_cell_graph_executor.compile(net, input_x)
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