43 lines
1.4 KiB
Python
43 lines
1.4 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.trainer.evaluation_loop.EvaluationLoop.call_on_evaluation_epoch_end_hook")
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def test_call_on_evaluation_epoch_end_hook(eval_epoch_end_mock, tmpdir):
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"""
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Tests that `call_on_evaluation_epoch_end_hook` is called
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for `on_validation_epoch_end` and `on_test_epoch_end` hooks
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"""
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model = BoringModel()
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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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weights_summary=None,
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)
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trainer.fit(model)
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# sanity + 2 epochs
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assert eval_epoch_end_mock.call_count == 3
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trainer.test()
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# sanity + 2 epochs + called once for test
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assert eval_epoch_end_mock.call_count == 4
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