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62 lines
1.9 KiB
62 lines
1.9 KiB
# 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 for CIFAR and MNIST are not part of build tree
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# They need to be downloaded directly
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# prep_data.py can be executed or code below
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# import sys
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# sys.path.insert(0,"../../data")
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# import prep_data
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# prep_data.download_all_for_test("../../data")
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DATA_DIR_10 = "../data/dataset/testCifar10Data"
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DATA_DIR_100 = "../data/dataset/testCifar100Data"
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def test_case_dataset_cifar10():
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"""
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dataset parameter
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"""
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logger.info("Test dataset parameter")
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# apply dataset operations
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data1 = ds.Cifar10Dataset(DATA_DIR_10, 100)
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num_iter = 0
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for item in data1.create_dict_iterator():
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# in this example, each dictionary has keys "image" and "label"
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num_iter += 1
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assert (num_iter == 100)
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def test_case_dataset_cifar100():
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"""
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dataset parameter
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"""
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logger.info("Test dataset parameter")
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# apply dataset operations
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data1 = ds.Cifar100Dataset(DATA_DIR_100, 100)
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num_iter = 0
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for item in data1.create_dict_iterator():
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# in this example, each dictionary has keys "image" and "label"
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num_iter += 1
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assert (num_iter == 100)
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if __name__ == '__main__':
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test_case_dataset_cifar10()
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test_case_dataset_cifar100()
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