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update pytest.mark.parametrize in tensor tests (#913)

pull/914/head
Ziyue Jiang 2022-05-06 11:16:40 +08:00 committed by GitHub
parent 1cf7fb3cd9
commit 193d629311
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2 changed files with 4 additions and 4 deletions
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4
tests/test_tensor/test_embedding_tp.py
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@ -8,7 +8,7 @@ import colossalai
import pytest import pytest
import torch import torch
import torch.multiprocessing as mp import torch.multiprocessing as mp
from colossalai.testing import parameterize, rerun_if_address_is_in_use from colossalai.testing import rerun_if_address_is_in_use
from colossalai.utils.cuda import get_current_device from colossalai.utils.cuda import get_current_device
from colossalai.utils import free_port from colossalai.utils import free_port
from colossalai.core import global_context as gpc from colossalai.core import global_context as gpc
@ -121,7 +121,7 @@ def run_dist(rank, world_size, port):
run_embedding_tp1d_row_test() run_embedding_tp1d_row_test()
@pytest.mark.dist @pytest.mark.dist
@parameterize('world_size', [1, 4]) @pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use() @rerun_if_address_is_in_use()
def test_embedding_1d(world_size): def test_embedding_1d(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port()) run_func = partial(run_dist, world_size=world_size, port=free_port())

4
tests/test_tensor/test_linear_tp.py
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@ -8,7 +8,7 @@ import colossalai
import pytest import pytest
import torch import torch
import torch.multiprocessing as mp import torch.multiprocessing as mp
from colossalai.testing import parameterize, rerun_if_address_is_in_use from colossalai.testing import rerun_if_address_is_in_use
from colossalai.utils.cuda import get_current_device from colossalai.utils.cuda import get_current_device
from colossalai.utils import free_port from colossalai.utils import free_port
from colossalai.core import global_context as gpc from colossalai.core import global_context as gpc
@ -149,7 +149,7 @@ def run_dist(rank, world_size, port):
run_linear_tp1d_col_test() run_linear_tp1d_col_test()
@pytest.mark.dist @pytest.mark.dist
@parameterize('world_size', [1, 4]) @pytest.mark.parametrize('world_size', [1, 4])
@rerun_if_address_is_in_use() @rerun_if_address_is_in_use()
def test_linear_1d(world_size): def test_linear_1d(world_size):
run_func = partial(run_dist, world_size=world_size, port=free_port()) run_func = partial(run_dist, world_size=world_size, port=free_port())