mindspore/tests/ut/python/dataset/test_flat_map.py

72 lines
1.9 KiB
Python

# 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:
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:
assert isinstance(d[0], np.ndarray)
count += 1
assert count == 104
if __name__ == "__main__":
test_flat_map_1()
test_flat_map_2()