36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
from tests.base.boring_model import BoringModel
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from pytorch_lightning import Trainer
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from unittest import mock
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@mock.patch('pytorch_lightning.core.hooks.ModelHooks.on_validation_model_eval')
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@mock.patch('pytorch_lightning.core.hooks.ModelHooks.on_validation_model_train')
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@mock.patch('pytorch_lightning.core.hooks.ModelHooks.on_test_model_eval')
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@mock.patch('pytorch_lightning.core.hooks.ModelHooks.on_test_model_train')
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def test_eval_train_calls(test_train_mock, test_eval_mock, val_train_mock, val_eval_mock, tmpdir):
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"""
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Tests that only training_step can be used
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"""
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model = BoringModel()
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model.validation_epoch_end = None
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trainer = Trainer(
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default_root_dir=tmpdir,
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limit_train_batches=2,
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limit_val_batches=2,
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max_epochs=2,
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row_log_interval=1,
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weights_summary=None,
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)
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trainer.fit(model)
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trainer.test()
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# sanity + 2 epochs
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assert val_eval_mock.call_count == 3
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assert val_train_mock.call_count == 3
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# test is called only once
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assert test_eval_mock.call_count == 1
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assert test_train_mock.call_count == 1
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