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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ==============================================================================
- import numpy as np
-
- import mindspore.dataset as ds
-
- DATA_FILE = "../data/dataset/test_flat_map/images1.txt"
- INDEX_FILE = "../data/dataset/test_flat_map/image_index.txt"
-
-
- def test_flat_map_1():
- '''
- DATA_FILE records the path of image folders, load the images from them.
- '''
-
- def flat_map_func(x):
- data_dir = x[0].item().decode('utf8')
- d = ds.ImageFolderDataset(data_dir)
- return d
-
- data = ds.TextFileDataset(DATA_FILE)
- data = data.flat_map(flat_map_func)
-
- count = 0
- for d in data.create_tuple_iterator(output_numpy=True):
- assert isinstance(d[0], np.ndarray)
- count += 1
- assert count == 52
-
-
- def test_flat_map_2():
- '''
- Flatten 3D structure data
- '''
-
- def flat_map_func_1(x):
- data_dir = x[0].item().decode('utf8')
- d = ds.ImageFolderDataset(data_dir)
- return d
-
- def flat_map_func_2(x):
- text_file = x[0].item().decode('utf8')
- d = ds.TextFileDataset(text_file)
- d = d.flat_map(flat_map_func_1)
- return d
-
- data = ds.TextFileDataset(INDEX_FILE)
- data = data.flat_map(flat_map_func_2)
-
- count = 0
- for d in data.create_tuple_iterator(output_numpy=True):
- assert isinstance(d[0], np.ndarray)
- count += 1
- assert count == 104
-
-
- if __name__ == "__main__":
- test_flat_map_1()
- test_flat_map_2()
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