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* add vis lr * add doc * Update doc and rm load_json_log in analysis * Update docs * add unit tests and update docstring * fix unit-tests * Use DummyIterBasedRunner and DummyEpochBasedRunner to simulate training process. * rm function val and add judge * update docs * improve english expression * Update docs/tools/visualization.md Co-authored-by: Ma Zerun <mzr1996@163.com> * fix typo and ImageNet datasize * fix typo * update example Co-authored-by: mzr1996 <mzr1996@163.com>
56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import os
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import os.path as osp
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import tempfile
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import mmcv.utils.logging
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from mmcls.utils import get_root_logger, load_json_logs
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def test_get_root_logger():
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# Reset the initialized log
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mmcv.utils.logging.logger_initialized = {}
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with tempfile.TemporaryDirectory() as tmpdirname:
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log_path = osp.join(tmpdirname, 'test.log')
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logger = get_root_logger(log_file=log_path)
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message1 = 'adhsuadghj'
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logger.info(message1)
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logger2 = get_root_logger()
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message2 = 'm,tkrgmkr'
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logger2.info(message2)
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with open(log_path, 'r') as f:
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lines = f.readlines()
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assert message1 in lines[0]
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assert message2 in lines[1]
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assert logger is logger2
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os.remove(log_path)
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def test_load_json_logs():
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log_path = 'tests/data/test.logjson'
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log_dicts = load_json_logs([log_path])
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# test log_dicts
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assert isinstance(log_dicts, list)
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assert len(log_dicts) == 1
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# test log_dict
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log_dict = log_dicts[0]
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assert set(log_dict.keys()) == set([1, 2, 3])
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# test epoch dict in log_dict
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assert set(log_dict[1].keys()) == set(
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['iter', 'lr', 'memory', 'data_time', 'time', 'mode'])
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assert isinstance(log_dict[1]['lr'], list)
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assert len(log_dict[1]['iter']) == 4
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assert len(log_dict[1]['lr']) == 4
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assert len(log_dict[2]['iter']) == 3
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assert len(log_dict[2]['lr']) == 3
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assert log_dict[3]['iter'] == [10, 20]
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assert log_dict[3]['lr'] == [0.33305, 0.34759]
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