50 lines
1.7 KiB
Python
50 lines
1.7 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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from unittest import mock
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from pytorch_lightning import Trainer
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from tests.helpers.boring_model import BoringModel
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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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log_every_n_steps=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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