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41 lines
1.5 KiB
41 lines
1.5 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_DIR = ["../data/dataset/test_tf_file_3_images2/train-0000-of-0001.data",
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"../data/dataset/test_tf_file_3_images2/train-0000-of-0002.data",
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"../data/dataset/test_tf_file_3_images2/train-0000-of-0003.data",
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"../data/dataset/test_tf_file_3_images2/train-0000-of-0004.data"]
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SCHEMA_DIR = "../data/dataset/test_tf_file_3_images2/datasetSchema.json"
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def test_tf_file_normal():
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# apply dataset operations
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data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
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data1 = data1.repeat(1)
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num_iter = 0
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for _ in data1.create_dict_iterator(): # each data is a dictionary
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num_iter += 1
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logger.info("Number of data in data1: {}".format(num_iter))
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assert num_iter == 12
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if __name__ == '__main__':
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logger.info('=======test normal=======')
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test_tf_file_normal()
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