mirror of https://github.com/hpcaitech/ColossalAI
33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
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import pytest
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import colossalai
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from colossalai.utils.cuda import get_current_device
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from colossalai.utils.memory import colo_set_process_memory_fraction, colo_device_memory_capacity
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from colossalai.utils import free_port
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from functools import partial
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import torch.multiprocessing as mp
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def _run_colo_set_process_memory_fraction_and_colo_device_memory_capacity():
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frac1 = colo_device_memory_capacity(get_current_device())
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colo_set_process_memory_fraction(0.5)
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frac2 = colo_device_memory_capacity(get_current_device())
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assert frac2 * 2 == frac1
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def run_dist(rank, world_size, port):
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colossalai.launch(config={}, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
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_run_colo_set_process_memory_fraction_and_colo_device_memory_capacity()
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@pytest.mark.dist
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@pytest.mark.parametrize("world_size", [4, 5])
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def test_memory_utils(world_size):
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run_func = partial(run_dist, 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_memory_utils(world_size=2)
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