55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
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# 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 glob
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import os
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import sys
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import pytest
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from pytorch_lightning import Trainer
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from tests import LEGACY_PATH
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LEGACY_CHECKPOINTS_PATH = os.path.join(LEGACY_PATH, 'checkpoints')
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CHECKPOINT_EXTENSION = ".ckpt"
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# todo: add more legacy checkpoints :]
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@pytest.mark.parametrize("pl_version", [
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"0.10.0", "1.0.0", "1.0.1", "1.0.2", "1.0.3", "1.0.4", "1.0.5", "1.0.6", "1.0.7", "1.0.8"
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])
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def test_resume_legacy_checkpoints(tmpdir, pl_version):
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path_dir = os.path.join(LEGACY_CHECKPOINTS_PATH, pl_version)
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# todo: make this as mock, so it is cleaner...
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orig_sys_paths = list(sys.path)
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sys.path.insert(0, path_dir)
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from zero_training import DummyModel
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path_ckpts = sorted(glob.glob(os.path.join(path_dir, f'*{CHECKPOINT_EXTENSION}')))
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assert path_ckpts, 'No checkpoints found in folder "%s"' % path_dir
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path_ckpt = path_ckpts[-1]
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model = DummyModel.load_from_checkpoint(path_ckpt)
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trainer = Trainer(default_root_dir=tmpdir, max_epochs=6)
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result = trainer.fit(model)
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assert result
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# todo
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# model = DummyModel()
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# trainer = Trainer(default_root_dir=tmpdir, max_epochs=1, resume_from_checkpoint=path_ckpt)
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# result = trainer.fit(model)
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# assert result
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sys.path = orig_sys_paths
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