147 lines
4.2 KiB
Python
147 lines
4.2 KiB
Python
# 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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from util import save_and_check_dict
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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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GENERATE_GOLDEN = False
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def test_2ops_repeat_shuffle():
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"""
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Test Repeat then Shuffle
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"""
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logger.info("Test Repeat then Shuffle")
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# define parameters
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repeat_count = 2
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buffer_size = 5
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seed = 0
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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(repeat_count)
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ds.config.set_seed(seed)
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data1 = data1.shuffle(buffer_size=buffer_size)
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filename = "test_2ops_repeat_shuffle.npz"
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save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
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def test_2ops_shuffle_repeat():
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"""
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Test Shuffle then Repeat
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"""
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logger.info("Test Shuffle then Repeat")
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# define parameters
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repeat_count = 2
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buffer_size = 5
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seed = 0
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# apply dataset operations
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data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
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ds.config.set_seed(seed)
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data1 = data1.shuffle(buffer_size=buffer_size)
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data1 = data1.repeat(repeat_count)
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filename = "test_2ops_shuffle_repeat.npz"
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save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
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def test_2ops_repeat_batch():
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"""
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Test Repeat then Batch
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"""
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logger.info("Test Repeat then Batch")
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# define parameters
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repeat_count = 2
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batch_size = 5
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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(repeat_count)
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data1 = data1.batch(batch_size, drop_remainder=True)
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filename = "test_2ops_repeat_batch.npz"
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save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
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def test_2ops_batch_repeat():
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"""
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Test Batch then Repeat
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"""
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logger.info("Test Batch then Repeat")
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# define parameters
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repeat_count = 2
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batch_size = 5
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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.batch(batch_size, drop_remainder=True)
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data1 = data1.repeat(repeat_count)
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filename = "test_2ops_batch_repeat.npz"
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save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
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def test_2ops_batch_shuffle():
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"""
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Test Batch then Shuffle
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"""
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logger.info("Test Batch then Shuffle")
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# define parameters
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buffer_size = 5
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seed = 0
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batch_size = 2
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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.batch(batch_size, drop_remainder=True)
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ds.config.set_seed(seed)
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data1 = data1.shuffle(buffer_size=buffer_size)
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filename = "test_2ops_batch_shuffle.npz"
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save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
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def test_2ops_shuffle_batch():
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"""
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Test Shuffle then Batch
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"""
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logger.info("Test Shuffle then Batch")
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# define parameters
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buffer_size = 5
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seed = 0
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batch_size = 2
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# apply dataset operations
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data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
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ds.config.set_seed(seed)
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data1 = data1.shuffle(buffer_size=buffer_size)
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data1 = data1.batch(batch_size, drop_remainder=True)
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filename = "test_2ops_shuffle_batch.npz"
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save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
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if __name__ == '__main__':
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test_2ops_repeat_shuffle()
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test_2ops_shuffle_repeat()
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test_2ops_repeat_batch()
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test_2ops_batch_repeat()
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test_2ops_batch_shuffle()
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test_2ops_shuffle_batch()
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