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80 lines
2.8 KiB
80 lines
2.8 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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"""
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Testing configuration manager
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"""
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import filecmp
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import glob
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import os
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import mindspore.dataset as ds
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import mindspore.dataset.transforms.vision.c_transforms as vision
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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/datasetSchema.json"
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def test_basic():
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ds.config.load('../data/dataset/declient.cfg')
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# assert ds.config.get_rows_per_buffer() == 32
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assert ds.config.get_num_parallel_workers() == 4
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# assert ds.config.get_worker_connector_size() == 16
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assert ds.config.get_prefetch_size() == 16
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assert ds.config.get_seed() == 5489
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# ds.config.set_rows_per_buffer(1)
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ds.config.set_num_parallel_workers(2)
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# ds.config.set_worker_connector_size(3)
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ds.config.set_prefetch_size(4)
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ds.config.set_seed(5)
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# assert ds.config.get_rows_per_buffer() == 1
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assert ds.config.get_num_parallel_workers() == 2
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# assert ds.config.get_worker_connector_size() == 3
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assert ds.config.get_prefetch_size() == 4
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assert ds.config.get_seed() == 5
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def test_pipeline():
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"""
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Test that our configuration pipeline works when we set parameters at dataset interval
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"""
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data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
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ds.config.set_num_parallel_workers(2)
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data1 = data1.map(input_columns=["image"], operations=[vision.Decode(True)])
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ds.serialize(data1, "testpipeline.json")
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data2 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
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ds.config.set_num_parallel_workers(4)
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data2 = data2.map(input_columns=["image"], operations=[vision.Decode(True)])
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ds.serialize(data2, "testpipeline2.json")
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# check that the generated output is different
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assert (filecmp.cmp('testpipeline.json', 'testpipeline2.json'))
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# this test passes currently because our num_parallel_workers don't get updated.
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# remove generated jason files
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file_list = glob.glob('*.json')
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for f in file_list:
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try:
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os.remove(f)
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except IOError:
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logger.info("Error while deleting: {}".format(f))
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if __name__ == '__main__':
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test_basic()
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test_pipeline()
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