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@@ -62,7 +62,7 @@ class ImageDenoiseTrainerTest(unittest.TestCase): |
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trainer.train() |
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trainer.train() |
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results_files = os.listdir(self.tmp_dir) |
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results_files = os.listdir(self.tmp_dir) |
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self.assertIn(f'{trainer.timestamp}.log.json', results_files) |
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self.assertIn(f'{trainer.timestamp}.log.json', results_files) |
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for i in range(2): |
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for i in range(1): |
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self.assertIn(f'epoch_{i+1}.pth', results_files) |
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self.assertIn(f'epoch_{i+1}.pth', results_files) |
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level') |
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level') |
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@@ -73,13 +73,13 @@ class ImageDenoiseTrainerTest(unittest.TestCase): |
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model=model, |
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model=model, |
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train_dataset=self.dataset_train, |
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train_dataset=self.dataset_train, |
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eval_dataset=self.dataset_val, |
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eval_dataset=self.dataset_val, |
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max_epochs=2, |
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max_epochs=1, |
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work_dir=self.tmp_dir) |
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work_dir=self.tmp_dir) |
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trainer = build_trainer(default_args=kwargs) |
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trainer = build_trainer(default_args=kwargs) |
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trainer.train() |
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trainer.train() |
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results_files = os.listdir(self.tmp_dir) |
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results_files = os.listdir(self.tmp_dir) |
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self.assertIn(f'{trainer.timestamp}.log.json', results_files) |
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self.assertIn(f'{trainer.timestamp}.log.json', results_files) |
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for i in range(2): |
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for i in range(1): |
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self.assertIn(f'epoch_{i+1}.pth', results_files) |
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self.assertIn(f'epoch_{i+1}.pth', results_files) |
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