mirror of https://github.com/hpcaitech/ColossalAI
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
from functools import partial
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import pytest
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import torch.multiprocessing as mp
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from colossalai.device import AlphaBetaProfiler
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from colossalai.initialize import launch
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from colossalai.logging import disable_existing_loggers
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from colossalai.testing import parameterize, rerun_if_address_is_in_use
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from colossalai.utils import free_port
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def check_alpha_beta(rank, physical_devices, world_size, port):
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disable_existing_loggers()
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launch(config={}, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
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profiler = AlphaBetaProfiler(physical_devices)
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ab_dict = profiler.profile_ab()
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for _, (alpha, beta) in ab_dict.items():
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assert alpha > 0 and alpha < 1e-4 and beta > 0 and beta < 1e-10
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@pytest.mark.skip(reason="Skip because assertion fails for CI devices")
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@pytest.mark.dist
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@parameterize('physical_devices', [[0, 1, 2, 3], [0, 3]])
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@rerun_if_address_is_in_use()
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def test_profile_alpha_beta(physical_devices):
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world_size = 4
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run_func = partial(check_alpha_beta, physical_devices=physical_devices, world_size=world_size, port=free_port())
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mp.spawn(run_func, nprocs=world_size)
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if __name__ == '__main__':
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test_profile_alpha_beta()
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