55 lines
1.9 KiB
Python
55 lines
1.9 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 os
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from unittest import mock
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from pytorch_lightning import Trainer
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def test_passing_no_env_variables():
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"""Testing overwriting trainer arguments"""
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trainer = Trainer()
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assert trainer.logger is not None
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assert trainer.max_steps is None
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trainer = Trainer(False, max_steps=42)
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assert trainer.logger is None
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assert trainer.max_steps == 42
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@mock.patch.dict(os.environ, {"PL_TRAINER_LOGGER": "False", "PL_TRAINER_MAX_STEPS": "7"})
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def test_passing_env_variables_only():
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"""Testing overwriting trainer arguments"""
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trainer = Trainer()
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assert trainer.logger is None
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assert trainer.max_steps == 7
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@mock.patch.dict(os.environ, {"PL_TRAINER_LOGGER": "True", "PL_TRAINER_MAX_STEPS": "7"})
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def test_passing_env_variables_defaults():
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"""Testing overwriting trainer arguments"""
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trainer = Trainer(False, max_steps=42)
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assert trainer.logger is None
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assert trainer.max_steps == 42
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@mock.patch.dict(os.environ, {"CUDA_VISIBLE_DEVICES": "0,1", "PL_TRAINER_GPUS": "2"})
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@mock.patch("torch.cuda.device_count", return_value=2)
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@mock.patch("torch.cuda.is_available", return_value=True)
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def test_passing_env_variables_gpus(cuda_available_mock, device_count_mock):
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"""Testing overwriting trainer arguments"""
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trainer = Trainer()
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assert trainer.gpus == 2
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trainer = Trainer(gpus=1)
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assert trainer.gpus == 1
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