mirror of https://github.com/open-mmlab/mmcv.git
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
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from unittest.mock import MagicMock, patch
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import torch.nn as nn
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from torch.nn.parallel import DataParallel, DistributedDataParallel
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from mmcv.parallel import (MMDataParallel, MMDistributedDataParallel,
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is_parallel_module)
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from mmcv.parallel.distributed_deprecated import \
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MMDistributedDataParallel as DeprecatedMMDDP
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@patch('torch.distributed._broadcast_coalesced', MagicMock)
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@patch('torch.distributed.broadcast', MagicMock)
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@patch('torch.nn.parallel.DistributedDataParallel._ddp_init_helper', MagicMock)
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def test_is_parallel_module():
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class Model(nn.Module):
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def __init__(self):
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super().__init__()
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self.conv = nn.Conv2d(2, 2, 1)
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def forward(self, x):
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return self.conv(x)
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model = Model()
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assert not is_parallel_module(model)
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dp = DataParallel(model)
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assert is_parallel_module(dp)
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mmdp = MMDataParallel(model)
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assert is_parallel_module(mmdp)
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ddp = DistributedDataParallel(model, process_group=MagicMock())
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assert is_parallel_module(ddp)
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mmddp = MMDistributedDataParallel(model, process_group=MagicMock())
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assert is_parallel_module(mmddp)
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deprecated_mmddp = DeprecatedMMDDP(model)
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assert is_parallel_module(deprecated_mmddp)
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