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# Owner(s): ["module: cuda"]
# run time cuda tests, but with the allocator using expandable segments
import os
import pathlib
import sys
import torch
from torch.testing._internal.common_cuda import IS_JETSON, IS_WINDOWS
from torch.testing._internal.common_utils import run_tests
pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(pytorch_test_dir)
from dynamo.test_cudagraphs import TestAotCudagraphs # noqa: F401
REPO_ROOT = pathlib.Path(__file__).resolve().parent.parent.parent
sys.path.insert(0, str(REPO_ROOT))
from tools.stats.import_test_stats import get_disabled_tests
# Make sure to remove REPO_ROOT after import is done
sys.path.remove(str(REPO_ROOT))
if __name__ == "__main__":
if torch.cuda.is_available() and not IS_JETSON and not IS_WINDOWS:
get_disabled_tests(".")
torch.cuda.memory._set_allocator_settings("expandable_segments:True")
run_tests()
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