!1369 dataset: delete StorageDataset
Merge pull request !1369 from ms_yan/del_storagepull/1369/MERGE
mindspore-ci-bot
5 years ago
committed by
Gitee
commit
41456ac824
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# Copyright 2019 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 mindspore.dataset as ds
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from mindspore import log as logger
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DATA_DIR = "../data/dataset/test_tf_file_3_images/data"
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SCHEMA = "../data/dataset/test_tf_file_3_images/datasetSchema.json"
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COLUMNS = ["label"]
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GENERATE_GOLDEN = False
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def test_case_0():
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logger.info("Test 0 readdir")
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# apply dataset operations
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data1 = ds.engine.Dataset.read_dir(DATA_DIR, SCHEMA, columns_list=None, num_parallel_workers=None,
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deterministic_output=True, prefetch_size=None, shuffle=False, seed=None)
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i = 0
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for item in data1.create_dict_iterator(): # each data is a dictionary
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logger.info("item[label] is {}".format(item["label"]))
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i = i + 1
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assert (i == 3)
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def test_case_1():
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logger.info("Test 1 readdir")
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# apply dataset operations
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data1 = ds.engine.Dataset.read_dir(DATA_DIR, SCHEMA, COLUMNS, num_parallel_workers=None,
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deterministic_output=True, prefetch_size=None, shuffle=True, seed=None)
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i = 0
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for item in data1.create_dict_iterator(): # each data is a dictionary
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logger.info("item[label] is {}".format(item["label"]))
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i = i + 1
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assert (i == 3)
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def test_case_2():
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logger.info("Test 2 readdir")
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# apply dataset operations
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data1 = ds.engine.Dataset.read_dir(DATA_DIR, SCHEMA, columns_list=None, num_parallel_workers=2,
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deterministic_output=False, prefetch_size=16, shuffle=True, seed=10)
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i = 0
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for item in data1.create_dict_iterator(): # each data is a dictionary
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logger.info("item[label] is {}".format(item["label"]))
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i = i + 1
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assert (i == 3)
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if __name__ == "__main__":
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test_case_0()
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test_case_1()
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test_case_2()
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@ -1,51 +0,0 @@
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# Copyright 2019 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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from util import save_and_check
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import mindspore.dataset as ds
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from mindspore import log as logger
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DATA_DIR = ["../data/dataset/testTFTestAllTypes/test.data"]
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SCHEMA_DIR = "../data/dataset/testTFTestAllTypes/datasetSchema.json"
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COLUMNS = ["col_1d", "col_2d", "col_3d", "col_binary", "col_float",
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"col_sint16", "col_sint32", "col_sint64"]
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GENERATE_GOLDEN = False
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def test_case_storage():
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"""
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test StorageDataset
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"""
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logger.info("Test Simple StorageDataset")
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# define parameters
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parameters = {"params": {}}
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# apply dataset operations
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data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
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filename = "storage_result.npz"
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save_and_check(data1, parameters, filename, generate_golden=GENERATE_GOLDEN)
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def test_case_no_rows():
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DATA_DIR = ["../data/dataset/test_tf_file_3_images/train-0000-of-0001.data"]
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SCHEMA_DIR = "../data/dataset/test_tf_file_3_images/datasetNoRowsSchema.json"
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dataset = ds.StorageDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"])
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assert dataset.get_dataset_size() == 3
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count = 0
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for data in dataset.create_tuple_iterator():
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count += 1
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assert count == 3
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