70 lines
2.4 KiB
Python
70 lines
2.4 KiB
Python
# Copyright 2019 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 mindspore.dataset as ds
|
|
from mindspore import log as logger
|
|
|
|
DATA_DIR = "../data/dataset/test_tf_file_3_images/data"
|
|
SCHEMA = "../data/dataset/test_tf_file_3_images/datasetSchema.json"
|
|
COLUMNS = ["label"]
|
|
GENERATE_GOLDEN = False
|
|
|
|
|
|
def test_case_0():
|
|
logger.info("Test 0 readdir")
|
|
|
|
# apply dataset operations
|
|
data1 = ds.engine.Dataset.read_dir(DATA_DIR, SCHEMA, columns_list=None, num_parallel_workers=None,
|
|
deterministic_output=True, prefetch_size=None, shuffle=False, seed=None)
|
|
|
|
i = 0
|
|
for item in data1.create_dict_iterator(): # each data is a dictionary
|
|
logger.info("item[label] is {}".format(item["label"]))
|
|
i = i + 1
|
|
assert (i == 3)
|
|
|
|
|
|
def test_case_1():
|
|
logger.info("Test 1 readdir")
|
|
|
|
# apply dataset operations
|
|
data1 = ds.engine.Dataset.read_dir(DATA_DIR, SCHEMA, COLUMNS, num_parallel_workers=None,
|
|
deterministic_output=True, prefetch_size=None, shuffle=True, seed=None)
|
|
|
|
i = 0
|
|
for item in data1.create_dict_iterator(): # each data is a dictionary
|
|
logger.info("item[label] is {}".format(item["label"]))
|
|
i = i + 1
|
|
assert (i == 3)
|
|
|
|
|
|
def test_case_2():
|
|
logger.info("Test 2 readdir")
|
|
|
|
# apply dataset operations
|
|
data1 = ds.engine.Dataset.read_dir(DATA_DIR, SCHEMA, columns_list=None, num_parallel_workers=2,
|
|
deterministic_output=False, prefetch_size=16, shuffle=True, seed=10)
|
|
|
|
i = 0
|
|
for item in data1.create_dict_iterator(): # each data is a dictionary
|
|
logger.info("item[label] is {}".format(item["label"]))
|
|
i = i + 1
|
|
assert (i == 3)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
test_case_0()
|
|
test_case_1()
|
|
test_case_2()
|