51 lines
1.8 KiB
Python
51 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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from unittest import mock
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from unittest.mock import Mock
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import torch
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from lightning_lite.strategies import DataParallelStrategy
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def test_data_parallel_root_device():
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strategy = DataParallelStrategy()
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strategy.parallel_devices = [torch.device("cuda", 2), torch.device("cuda", 0), torch.device("cuda", 1)]
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assert strategy.root_device == torch.device("cuda", 2)
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def test_data_parallel_ranks():
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strategy = DataParallelStrategy()
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assert strategy.world_size == 1
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assert strategy.local_rank == 0
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assert strategy.global_rank == 0
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assert strategy.is_global_zero
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@mock.patch("lightning_lite.strategies.dp.DataParallel")
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def test_data_parallel_setup_module(data_parallel_mock):
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strategy = DataParallelStrategy()
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strategy.parallel_devices = [0, 2, 1]
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module = torch.nn.Linear(2, 2)
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wrapped_module = strategy.setup_module(module)
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assert wrapped_module == data_parallel_mock(module=module, device_ids=[0, 2, 1])
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def test_data_parallel_module_to_device():
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strategy = DataParallelStrategy()
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strategy.parallel_devices = [torch.device("cuda", 2)]
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module = Mock()
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strategy.module_to_device(module)
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module.to.assert_called_with(torch.device("cuda", 2))
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