75 lines
2.5 KiB
Python
75 lines
2.5 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 re
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import pytest
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import torch
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from pytorch_lightning import Trainer
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from pytorch_lightning.tuner.auto_gpu_select import pick_multiple_gpus
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from pytorch_lightning.utilities.exceptions import MisconfigurationException
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@pytest.mark.skipif(
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torch.cuda.device_count() < 2, reason="test requires a number of GPU machine greater than 1"
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)
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@pytest.mark.parametrize(
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["auto_select_gpus", "gpus", "expected_error"],
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[
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(True, 0, MisconfigurationException),
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(True, -1, None),
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(False, 0, None),
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(False, -1, None),
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],
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)
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def test_trainer_with_gpus_options_combination_at_available_gpus_env(
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auto_select_gpus, gpus, expected_error
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):
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if expected_error:
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with pytest.raises(
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expected_error,
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match=re.escape(
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r"auto_select_gpus=True, gpus=0 is not a valid configuration.\
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Please select a valid number of GPU resources when using auto_select_gpus."
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),
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):
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trainer = Trainer(auto_select_gpus=auto_select_gpus, gpus=gpus)
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else:
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trainer = Trainer(auto_select_gpus=auto_select_gpus, gpus=gpus)
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@pytest.mark.skipif(
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torch.cuda.device_count() < 2, reason="test requires a number of GPU machine greater than 1"
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)
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@pytest.mark.parametrize(
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["nb", "expected_gpu_idxs", "expected_error"],
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[
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(0, [], MisconfigurationException),
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(-1, [i for i in range(torch.cuda.device_count())], None),
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(1, [0], None),
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],
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)
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def test_pick_multiple_gpus(nb, expected_gpu_idxs, expected_error):
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if expected_error:
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with pytest.raises(
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expected_error,
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match=re.escape(
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r"auto_select_gpus=True, gpus=0 is not a valid configuration.\
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Please select a valid number of GPU resources when using auto_select_gpus."
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),
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):
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pick_multiple_gpus(nb)
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else:
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assert expected_gpu_idxs == pick_multiple_gpus(nb)
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