54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
# Copyright The PyTorch Lightning team.
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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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import pytest
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from pytorch_lightning.trainer import Trainer
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from pytorch_lightning.trainer.states import TrainerState
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from tests.helpers import BoringModel
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@pytest.mark.parametrize(
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'max_epochs,expected_val_loop_calls,expected_val_batches', [
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(1, 0, [0]),
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(4, 2, [0, 2, 0, 2]),
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(5, 2, [0, 2, 0, 2, 0]),
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]
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)
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def test_check_val_every_n_epoch(tmpdir, max_epochs, expected_val_loop_calls, expected_val_batches):
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class TestModel(BoringModel):
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val_epoch_calls = 0
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val_batches = []
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def on_train_epoch_end(self, *args, **kwargs):
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self.val_batches.append(self.trainer.progress_bar_callback.total_val_batches)
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def on_validation_epoch_start(self) -> None:
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self.val_epoch_calls += 1
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model = TestModel()
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trainer = Trainer(
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default_root_dir=tmpdir,
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max_epochs=max_epochs,
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num_sanity_val_steps=0,
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limit_val_batches=2,
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check_val_every_n_epoch=2,
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logger=False,
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)
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trainer.fit(model)
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assert trainer.state == TrainerState.FINISHED, f"Training failed with {trainer.state}"
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assert model.val_epoch_calls == expected_val_loop_calls
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assert model.val_batches == expected_val_batches
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