forked from huawei/mindspore2022
126 lines
5.0 KiB
Python
126 lines
5.0 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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import pytest
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import mindspore.dataset as ds
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from mindspore.dataset.transforms import c_transforms
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from mindspore.dataset.transforms import py_transforms
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import mindspore.dataset.vision.c_transforms as c_vision
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import mindspore.dataset.vision.py_transforms as py_vision
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DATA_DIR = "../data/dataset/testPK/data"
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def test_map_c_transform_exception():
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"""
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Feature: test c error op def
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Description: op defined like c_vision.HWC2CHW
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Expectation: success
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"""
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data_set = ds.ImageFolderDataset(DATA_DIR, num_parallel_workers=1, shuffle=True)
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train_image_size = 224
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mean = [0.485 * 255, 0.456 * 255, 0.406 * 255]
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std = [0.229 * 255, 0.224 * 255, 0.225 * 255]
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# define map operations
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random_crop_decode_resize_op = c_vision.RandomCropDecodeResize(train_image_size,
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scale=(0.08, 1.0),
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ratio=(0.75, 1.333))
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random_horizontal_flip_op = c_vision.RandomHorizontalFlip(prob=0.5)
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normalize_op = c_vision.Normalize(mean=mean, std=std)
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hwc2chw_op = c_vision.HWC2CHW # exception
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data_set = data_set.map(operations=random_crop_decode_resize_op, input_columns="image", num_parallel_workers=1)
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data_set = data_set.map(operations=random_horizontal_flip_op, input_columns="image", num_parallel_workers=1)
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data_set = data_set.map(operations=normalize_op, input_columns="image", num_parallel_workers=1)
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with pytest.raises(ValueError) as info:
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data_set = data_set.map(operations=hwc2chw_op, input_columns="image", num_parallel_workers=1)
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assert "Parameter operations's element of method map should be a " in str(info.value)
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# compose exception
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with pytest.raises(ValueError) as info:
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c_transforms.Compose([
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c_vision.RandomCropDecodeResize(train_image_size, scale=(0.08, 1.0), ratio=(0.75, 1.333)),
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c_vision.RandomHorizontalFlip,
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c_vision.Normalize(mean=mean, std=std),
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c_vision.HWC2CHW()])
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assert " should be a " in str(info.value)
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# randomapply exception
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with pytest.raises(ValueError) as info:
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c_transforms.RandomApply([
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c_vision.RandomCropDecodeResize,
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c_vision.RandomHorizontalFlip(prob=0.5),
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c_vision.Normalize(mean=mean, std=std),
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c_vision.HWC2CHW()])
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assert " should be a " in str(info.value)
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# randomchoice exception
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with pytest.raises(ValueError) as info:
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c_transforms.RandomChoice([
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c_vision.RandomCropDecodeResize(train_image_size, scale=(0.08, 1.0), ratio=(0.75, 1.333)),
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c_vision.RandomHorizontalFlip(prob=0.5),
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c_vision.Normalize,
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c_vision.HWC2CHW()])
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assert " should be a " in str(info.value)
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def test_map_py_transform_exception():
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"""
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Feature: test python error op def
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Description: op defined like py_vision.RandomHorizontalFlip
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Expectation: success
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"""
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data_set = ds.ImageFolderDataset(DATA_DIR, num_parallel_workers=1, shuffle=True)
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# define map operations
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decode_op = py_vision.Decode()
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random_horizontal_flip_op = py_vision.RandomHorizontalFlip # exception
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to_tensor_op = py_vision.ToTensor()
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trans = [decode_op, random_horizontal_flip_op, to_tensor_op]
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with pytest.raises(ValueError) as info:
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data_set = data_set.map(operations=trans, input_columns="image", num_parallel_workers=1)
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assert "Parameter operations's element of method map should be a " in str(info.value)
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# compose exception
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with pytest.raises(ValueError) as info:
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py_transforms.Compose([
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py_vision.Decode,
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py_vision.RandomHorizontalFlip(),
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py_vision.ToTensor()])
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assert " should be a " in str(info.value)
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# randomapply exception
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with pytest.raises(ValueError) as info:
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py_transforms.RandomApply([
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py_vision.Decode(),
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py_vision.RandomHorizontalFlip,
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py_vision.ToTensor()])
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assert " should be a " in str(info.value)
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# randomchoice exception
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with pytest.raises(ValueError) as info:
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py_transforms.RandomChoice([
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py_vision.Decode(),
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py_vision.RandomHorizontalFlip(),
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py_vision.ToTensor])
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assert " should be a " in str(info.value)
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if __name__ == '__main__':
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test_map_c_transform_exception()
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test_map_py_transform_exception()
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