forked from mindspore-Ecosystem/mindspore
75 lines
2.2 KiB
Python
75 lines
2.2 KiB
Python
# 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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"""
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test CentralCrop
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"""
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import numpy as np
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import pytest
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore.common import dtype as mstype
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from mindspore.common.api import _executor
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class CentralCropNet(nn.Cell):
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def __init__(self, central_fraction):
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super(CentralCropNet, self).__init__()
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self.net = nn.CentralCrop(central_fraction)
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def construct(self, image):
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return self.net(image)
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def test_compile_3d_central_crop():
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central_fraction = 0.2
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net = CentralCropNet(central_fraction)
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image = Tensor(np.random.random((3, 16, 16)), mstype.float32)
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_executor.compile(net, image)
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def test_compile_4d_central_crop():
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central_fraction = 0.5
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net = CentralCropNet(central_fraction)
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image = Tensor(np.random.random((8, 3, 16, 16)), mstype.float32)
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_executor.compile(net, image)
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def test_central_fraction_bool():
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central_fraction = True
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with pytest.raises(TypeError):
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_ = CentralCropNet(central_fraction)
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def test_central_crop_central_fraction_negative():
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central_fraction = -1.0
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with pytest.raises(ValueError):
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_ = CentralCropNet(central_fraction)
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def test_central_fraction_zero():
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central_fraction = 0.0
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with pytest.raises(ValueError):
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_ = CentralCropNet(central_fraction)
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def test_central_crop_invalid_5d_input():
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invalid_shape = (8, 3, 16, 16, 1)
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invalid_image = Tensor(np.random.random(invalid_shape))
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net = CentralCropNet(central_fraction=0.5)
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with pytest.raises(ValueError):
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_executor.compile(net, invalid_image)
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