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[Refactor] Refactor unit test of EmptyCacheHook (#805)
* test EmptyCacheHook with runner * Add coments
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# Copyright (c) OpenMMLab. All rights reserved.
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from unittest.mock import Mock
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from unittest.mock import patch
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from mmengine.hooks import EmptyCacheHook
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from mmengine.testing import RunnerTestCase
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class TestEmptyCacheHook:
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class TestEmptyCacheHook(RunnerTestCase):
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def test_emtpy_cache_hook(self):
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hook = EmptyCacheHook(True, True, True)
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runner = Mock()
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hook._after_iter(runner, 0)
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hook._before_epoch(runner)
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hook._after_epoch(runner)
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def test_with_runner(self):
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with patch('torch.cuda.empty_cache') as mock_empty_cache:
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cfg = self.epoch_based_cfg
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cfg.custom_hooks = [dict(type='EmptyCacheHook')]
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cfg.train_cfg.val_interval = 1e6 # disable validation during training # noqa: E501
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runner = self.build_runner(cfg)
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runner.train()
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runner.test()
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runner.val()
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# Call `torch.cuda.empty_cache` after each epoch:
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# runner.train: `max_epochs` times.
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# runner.val: `1` time.
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# runner.test: `1` time.
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target_called_times = runner.max_epochs + 2
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self.assertEqual(mock_empty_cache.call_count, target_called_times)
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with patch('torch.cuda.empty_cache') as mock_empty_cache:
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cfg.custom_hooks = [dict(type='EmptyCacheHook', before_epoch=True)]
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runner = self.build_runner(cfg)
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runner.train()
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runner.val()
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runner.test()
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# Call `torch.cuda.empty_cache` after/before each epoch:
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# runner.train: `max_epochs*2` times.
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# runner.val: `1*2` times.
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# runner.test: `1*2` times.
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target_called_times = runner.max_epochs * 2 + 4
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self.assertEqual(mock_empty_cache.call_count, target_called_times)
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with patch('torch.cuda.empty_cache') as mock_empty_cache:
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cfg.custom_hooks = [
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dict(
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type='EmptyCacheHook', after_iter=True, before_epoch=True)
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]
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runner = self.build_runner(cfg)
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runner.train()
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runner.val()
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runner.test()
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# Call `torch.cuda.empty_cache` after/before each epoch,
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# after each iteration:
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# runner.train: `max_epochs*2 + len(dataloader)*max_epochs` times. # noqa: E501
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# runner.val: `1*2 + len(val_dataloader)` times.
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# runner.test: `1*2 + len(val_dataloader)` times.
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target_called_times = \
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runner.max_epochs * 2 + 4 + \
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len(runner.train_dataloader) * runner.max_epochs + \
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len(runner.val_dataloader) + \
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len(runner.test_dataloader)
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self.assertEqual(mock_empty_cache.call_count, target_called_times)
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