46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
import sys
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import pytest
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import torch
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from tests.metrics.test_metric import Dummy
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from tests.metrics.utils import setup_ddp
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torch.manual_seed(42)
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def _test_ddp_sum(rank, worldsize):
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setup_ddp(rank, worldsize)
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dummy = Dummy()
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dummy._reductions = {"foo": torch.sum}
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dummy.foo = torch.tensor(1)
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dummy._sync_dist()
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assert dummy.foo == worldsize
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def _test_ddp_cat(rank, worldsize):
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setup_ddp(rank, worldsize)
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dummy = Dummy()
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dummy._reductions = {"foo": torch.cat}
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dummy.foo = [torch.tensor([1])]
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dummy._sync_dist()
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assert torch.all(torch.eq(dummy.foo, torch.tensor([1, 1])))
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def _test_ddp_sum_cat(rank, worldsize):
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setup_ddp(rank, worldsize)
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dummy = Dummy()
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dummy._reductions = {"foo": torch.cat, "bar": torch.sum}
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dummy.foo = [torch.tensor([1])]
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dummy.bar = torch.tensor(1)
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dummy._sync_dist()
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assert torch.all(torch.eq(dummy.foo, torch.tensor([1, 1])))
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assert dummy.bar == worldsize
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@pytest.mark.skipif(sys.platform == "win32", reason="DDP not available on windows")
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@pytest.mark.parametrize("process", [_test_ddp_cat, _test_ddp_sum, _test_ddp_sum_cat])
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def test_ddp(process):
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torch.multiprocessing.spawn(process, args=(2,), nprocs=2)
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